Earlier Publications

2014

Arbuckle, J. G., Hobbs, J., Loy, A., Morton, L. W., Prokopy, L. S., and Tyndall, J. (2014). “Understanding Corn Belt farmer perspectives on climate change to inform engagement strategies for adaptation and mitigation,” Journal of Soil and Water Conservation, 69(6), pp. 505–516. Document (link to DOI).

Wuebbles, D., Meehl, G., Hayhoe, K., Karl, T. R., Kunkel, K. and others (2014). “CMIP5 CLIMATE MODEL ANALYSES Climate Extremes in the United States,” Bulletin of the American Meteorological Society, 95(4), pp. 571-583.

Seo, J., Youn, D., Kim, J. Y., and Lee, H. (2014). “Extensive spatiotemporal analyses of surface ozone and related meteorological variables in South Korea for the period 1999-2010,” Atmospheric Chemistry and Physics, 14(12), pp. 6395-6415.

Mattmann, C. A., Waliser, D., Kim, J., Goodale, C., Hart, A. and others (2014). “Cloud computing and virtualization within the regional climate model and evaluation system,” Earth Science Informatics, 7(1), pp. 1-12.

Djorgovski, S George, Mahabal, Ashish, Donalek, Ciro, Graham, Matthew, Drake, Andrew and others (2014). “Automated real-time classification and decision making in massive data streams from synoptic sky surveys,” 2014 IEEE 10th International Conference on e-Science, vol. 1, pp. 204–211. Document.

Hoeksema, J. T., Liu, Y., Hayashi, K., Sun, X., Schou, J. and others (2014). “The HMI vector magnetic field pipeline: Overview and performance,” Solar Physics, 289, pp. 3483-3530, Springer. Document (link to DOI).

Turmon, M., Hoeksema, J. T., and Bobra, M. (2014). “Tracked Active Region Patches for MDI and HMI,” American Astronomical Society Meeting Abstracts #224, vol. 224, pp. #123.52. Document.

Bobra, M. G., Sun, X., Hoeksema, J. T., Turmon, M., Liu, Y. and others (2014). “The HMI vector magnetic field pipeline: SHARPs – Space-Weather HMI Active Region Patches,” Solar Physics, 289, pp. 3549–3578, Springer. Document (link to DOI).

Shiga, Yoichi P, Michalak, Anna M, Gourdji, Sharon M, Mueller, Kim L and Yadav, V (2014). “Detecting fossil fuel emissions patterns from sub-continental regions using North American in-situ CO2 measurements,” Geophysical Research Letters, 41(12), pp. 4381–4388, American Geophysical Union.

Ray, Jaideep, Yadav, V, Michalak, AM, van Bloemen Waanders, B, and Mckenna, Sean A (2014). “A multiresolution spatial parameterization for the estimation of fossil-fuel carbon dioxide emissions via atmospheric inversions,” Geoscientific Model Development, 7(5), pp. 1901–1918, Copernicus GmbH.

Fang, Yuanyuan, Michalak, Anna M, Shiga, Yoichi P, and Yadav, V (2014). “Using atmospheric observations to evaluate the spatiotemporal variability of CO 2 fluxes simulated by terrestrial biospheric models,” Biogeosciences, 11(23), pp. 6985–6997, Copernicus GmbH.

2013

Morton, L. W., Hobbs, J., and Arbuckle, J. G. (2013). “Shifts in farmer uncertainty over time about sustainable farming practices and modern farming's reliance on commercial fertilizers, insecticides, and herbicides,” Journal of Soil and Water Conservation, 68(1), pp. 1–12. Document (link to DOI).

Arbuckle, J. G., Morton, L. W., and Hobbs, J. (2013). “Farmer beliefs and concerns about climate change and attitudes toward adaptation and mitigation: Evidence from Iowa,” Climatic Change, 118(3-4), pp. 551–563. Document (link to DOI).

Loikith, P. C., Lintner, B. R., Kim, J., Lee, H., Neelin, J. D., and Waliser, D. E. (2013). “Classifying reanalysis surface temperature probability density functions (PDFs) over North America with cluster analysis,” Geophysical Research Letters, 40(14), pp. 3710-3714.

Lee, H., Olsen, S. C., Wuebbles, D. J., and Youn, D. (2013). “Impacts of aircraft emissions on the air quality near the ground,” Atmospheric Chemistry and Physics, 13(11), pp. 5505-5522.

Kim, J., Waliser, D. E., Mattmann, C. A., Mearns, L. O., Goodale, C. E. and others (2013). “Evaluation of the Surface Climatology over the Conterminous United States in the North American Regional Climate Change Assessment Program Hindcast Experiment Using a Regional Climate Model Evaluation System,” Journal of Climate, 26(15), pp. 5698-5715.

Donalek, Ciro, Djorgovski, S George, Mahabal, Ashish, Graham, Matthew, Drake, Andrew and others (2013). “Feature selection strategies for classifying high dimensional astronomical data sets,” 2013 IEEE International Conference on Big Data, pp. 35–41. Document.

Turmon, Michael, Hoeksema, J Todd, and Bobra, Monica (2013). “TARPs: Tracked Active Region Patches from SOHO/MDI,” AGU Fall Meeting Abstracts, pp. SH23A-2087. Document.

Yadav, V and Malanson, George P (2013). “A spatially explicit scheme for tracking and validating annual landscape scale changes in soil carbon,” Applied Geography, 37(February 2013), pp. 101–113, Elsevier.

Yadav, V, Mueller, Kimberly L, and Michalak, Anna M (2013). “A backward elimination discrete optimization algorithm for model selection in spatio-temporal regression models,” Environmental modelling & software, 42, pp. 88–98, Elsevier.

Yadav, V and Michalak, AM (2013). “Improving computational efficiency in large linear inverse problems: An example from carbon dioxide flux estimation,” Geoscientific Model Development, 6(3), pp. 583–590, Copernicus GmbH.

Ray, Jaideep, Lee, Jina, Lefantzi, Sophia, Yadav, Vineet, Michalak, Anna M. and others (2013). “Kalman-Filtered Compressive Sensing for High Resolution Estimation of Anthropogenic Greenhouse Gas Emissions from Sparse Measurements,” Sandia National Laboratory, Livermore, CA.

2012

Pietrobon, Davide, Gorski, Krzysztof M, Bartlett, James, Banday, A J, Dobler, Gregory and others (2012). “Analysis of WMAP 7 Year Temperature Data: Astrophysics of the Galactic Haze,” The Astrophysical Journal, 755(1), p. 69.

Lee, H., Youn, D., Patten, K. O., Olsen, S. C., and Wuebbles, D. J. (2012). “Diagnostic tools for evaluating quasi-horizontal transport in global-scale chemistry models,” Journal of Geophysical Research-Atmospheres, 117.

Bobra, M, Turmon, M, Baldner, C, Sun, X, and Hoeksema, JT (2012). “SHARPs – A Near-Real-Time Space Weather Data Product from HMI,” AGU Fall Meeting Abstracts, pp. SH43B–2171. Document.

Turmon, Michael, Hoeksema, Todd, Sun, Xudong, and Bobra, Monica (2012). “HARPs: Tracked Active Region Patch Data Product from SDO/HMI,” AGU Fall Meeting Abstracts, pp. SH13A-2246. Document.

Gourdji, Sharon M (2012). “North American CO2 exchange: Inter comparison of modeled estimates with results from a fine scale atmospheric inversion,” Biogeosciences, 9, pp. 457–475.

Chatterjee, Abhishek, Michalak, Anna M, Anderson, Jeffrey L, Mueller, Kim L, and Yadav, V (2012). “Toward reliable ensemble Kalman filter estimates of CO2 fluxes,” Journal of Geophysical Research, 117(D22), pp. D22306, American Geophysical Union.

2011

Braverman, A. J., Cressie, N., and Teixeira, J. (2011). “A likelihood-based comparison of CMIP5 decadal experiment runs with observations from the Atmospheric Infrared Sounder,” AGU Fall Meeting Abstracts, pp. A773. Document.

Fisel, B. J., Gutowski, W. J., Hobbs, J. M., and Cassano, J. J. (2011). “Multiregime states of Arctic atmospheric circulation,” Journal of Geophysical Research, 116(D20), pp. D20122. Document (link to DOI).

Zacchei, A., et al. (2011). “Planck early results. V. The Low Frequency Instrument data processing,” Astronomy and Astrophysics, 536, pp. A5.

Mennella, A, et al. (2011). “Planck early results. III. First assessment of the Low Frequency Instrument in-flight performance,” Astronomy and Astrophysics, 536, pp. A3.

Mahabal, Ashish A, Donalek, C, Djorgovski, SG, Drake, AJ, Graham, MJ and others (2011). “Real-time classification of transient events in synoptic sky surveys,” Proceedings of the International Astronomical Union, 7(S285), pp. 355–357, Cambridge University Press. Document.

Mahabal, Ashish, Djorgovski, SG, Moghaddam, B, Donalek, C, Chen, Y and others (2011). “Classification with sparse timeseries,” AAS/High Energy Astrophysics Division# 12, 12, pp. 6–03. Document.

Mahabal, AA, Djorgovski, SG, Drake, AJ, Donalek, C, Graham, MJ and others (2011). “Discovery, classification, and scientific exploration of transient events from the Catalina Real-time Transient Survey,” arXiv preprint arXiv:1111.0313. Document.

Bobra, M, Hoeksema, JT, Sun, X, and Turmon, M (2011). “SHARPs – A new space weather data product from SDO/HMI,” AGU Fall Meeting Abstracts, pp. SH51B–2006. Document.

2010

Crichton, D. J., Mattmann, C. A., Braverman, A. J., and Cinquini, L. (2010). “A Distributed, Cross-Agency Software Architecture for Sharing Climate Models and Observational Data Sets (Invited),” AGU Fall Meeting Abstracts, pp. A2. Document.

Nguyen, H. M. and Braverman, A. J. (2010). “Components of uncertainty in spatial statistical modeling of geophysical processes (Invited),” AGU Fall Meeting Abstracts, pp. A2. Document.

Braverman, A. J., Cressie, N., and Teixeira, J. (2010). “A Bayesian Approach to Evaluating Consistency between Climate Model Output and Observations,” AGU Fall Meeting Abstracts, pp. C3. Document.

Nguyen, H. M., Cressie, N., Braverman, A. J., and Olsen, E. (2010). “Spatial interpolation of carbon dioxide using Fixed Rank Kriging,” AGU Fall Meeting Abstracts, pp. D3. Document.

Hobbs, J., Wickham, H., Hofmann, H., and Cook, D. (2010). “Glaciers melt as mountains warm: a graphical case study,” Computational Statistics, 25(4), pp. 569–586. Document (link to DOI).

Tauber, J. A,. et al. (2010). “Planck pre-launch status: The Planck mission,” Astronomy and Astrophysics, 520, pp. A1.

Youn, D., Patten, K. O., Wuebbles, D. J., Lee, H., and So, C. W. (2010). “Potential impact of iodinated replacement compounds CF3I and CH3I on atmospheric ozone: a three-dimensional modeling study,” Atmospheric Chemistry and Physics, 10(20), pp. 10129-10144.

Smith, Ryan N, Chao, Yi, Li, Peggy P, Caron, David A, Jones, Burton H, and Sukhatme, Gaurav S (2010). “Planning and Implementing Trajectories for Autonomous Underwater Vehicles to Track Evolving Ocean Processes Based on Predictions from a Regional Ocean Model,” The International Journal of Robotics Research. Document (link to DOI).

Li, P., Hristova-Veleva, S. M., Turk, F. J., Vu, Q., Knosp, B. W. and others (2010). “The JPL GRIP Portal - Serving Near Real-time Observation and Model Forecast for Hurricane Study,” AGU Fall Meeting Abstracts, pp. A1260. Document.

Hristova-Veleva, S. M., Turk, F. J., Li, P., Knosp, B. W., Vu, Q. and others (2010). “Evaluating Tropical Cyclone Forecasts from High-Resolution Regional Models and Lower Resolution Global Models Using the JPL Grip/predict/ifex Database of Satellite and Airborne Observations during the Period August 15TH - September 30TH 2010,” AGU Fall Meeting Abstracts, pp. B86. Document.

David R. Thompson, Steve Chien, Arjuna Balasurayia, Stephanie Petillo, Yi Chao, Peggy Li, Bronwyn Cahill, Julia Levin, Michael Meisinger, Matthew Arrott, Oscar Schofield (2010). “Spatiotemporal Path Planning in Strong, Dynamic, Uncertain Currents,” Proceedings of the IEEE International Conference on Robotics and Automation 2010. Document (CL#10-0420).

M. Turmon, H. P. Jones, O. Malanushenko, and J. Pap (2010). “Statistical feature recognition for multidimensional solar imagery,” Solar Physics, 262(2), pp. 277–298. Document (CL 10-0771).

Rankin, A., Bajracharya, M., Huertas, A., Howard, A., Moghaddam, B. and others (2010). “Stereo-vision-based perception capabilities developed during the Robotics Collaborative Technology Alliances program,” SPIE Conference Series, vol. 7692, pp. 76920C-76920C-15. Document.

Mahabal, Ashish, Djorgovski, SG, Donalek, Ciro, Drake, Andrew, Graham, Matthew and others (2010). “Mixing Bayesian techniques for effective real-time classification of astronomical transients,” Astronomical Data Analysis Software and Systems XIX, vol. 434, p. 115. Document.

Gourdji, SM, Hirsch, AI, Mueller, KL, Yadav, V, Andrews, AE, and Michalak, AM (2010). “Regional-scale geostatistical inverse modeling of North American CO2 fluxes: a synthetic data study,” Atmos. Chem. Phys, 10, pp. 6151–6167.

Yadav, V, Mueller, KL, Dragoni, D, and Michalak, AM (2010). “A geostatistical synthesis study of factors affecting gross primary productivity in various ecosystems of North America,” Biogeosciences, 7(9), pp. 2655–2671, European Geosciences Union, c/o E. O. S. T. Strasbourg Cedex 67084 France.

Mueller, Kim L, Yadav, V, Curtis, Peter S, Vogel, Chris, and Michalak, Anna M (2010). “Attributing the variability of eddy-covariance CO2 flux measurements across temporal scales using geostatistical regression for a mixed northern hardwood forest,” Global Biogeochemical Cycles, 24(3), pp. GB3023, American Geophysical Union.

2009

Braverman, A. J. (2009). “The Role of Uncertainty in Spatial Statistical Modeling of Geophysical Processes (Invited),” AGU Fall Meeting Abstracts. Document.

Braverman, A. J., Cressie, N., Katzfuss, M., Michalak, A. M., Miller, C. E. and others (2009). “Geostatistical Data Fusion for Remote Sensing Applications,” AGU Fall Meeting Abstracts, pp. C1014. Document.

Mattmann, C. A., Williams, D., Braverman, A. J., and Crichton, D. J. (2009). “An Architecture and Analysis Environment for Model to Observational Data Intercomparisons,” AGU Fall Meeting Abstracts, pp. B1083. Document.

Dickinson, C, Eriksen, H K, Banday, A J, Jewell, J B, Górski, K M and others (2009). “Bayesian Component Separation and Cosmic Microwave Background Estimation for the Five-Year WMAP Temperature Data,” The Astrophysical Journal, 705(2), pp. 1607–1623.

Jewell, J B, Eriksen, H K, Wandelt, B D, O'Dwyer, I J, Huey, Greg, and Górski, K M (2009). “A Markov Chain Monte Carlo Algorithm for Analysis of Low Signal-To-Noise Cosmic Microwave Background Data,” The Astrophysical Journal, 697(1), pp. 258–268.

Rudjord, \O, Groeneboom, N E, Eriksen, H K, Huey, Greg, Górski, K M, and Jewell, J B (2009). “Cosmic Microwave Background Likelihood Approximation by a Gaussianized Blackwell-Rao Estimator,” The Astrophysical Journal, 692(2), pp. 1669–1677.

Groeneboom, N E, Eriksen, H K, Gorski, K, Huey, G, Jewell, Jeffrey, and Wandelt, B (2009). “Bayesian Analysis of White Noise Levels in the Five-Year WMAP Data,” The Astrophysical Journal Letters, 702(1), pp. L87–L90.

Li, P., Turk, J., Vu, Q., Knosp, B., Hristova-Veleva, S. M. and others (2009). “3D Visualization of near real-time remote-sensing observation for hurricanes field campaign using Google Earth API,” AGU Fall Meeting Abstracts, pp. A1025. Document.

Hristova-Veleva, S. M., Chao, Y., Chau, A. H., Haddad, Z. S., Knosp, B. and others (2009). “Using Instrument Simulators and a Satellite Database to Evaluate Microphysical Assumptions in High-Resolution Simulations of Hurricane Rita,” AGU Fall Meeting Abstracts, pp. L6. Document.

David R. Thompson, Steve Chien, Matthew Arrott, Arjuna Balasuriyai, Yi Chao, Peggy Li, Stephanie Petillo, Oscar Schofield (2009). “Mission Planning in a Dynamic Ocean Sensorweb,” Proceedings of the International Conference on Planning and Scheduling, SPARK Workshop. Document (CL #09-3134).

Jones, HP, Chapman, GA, Harvey, KL, Pap, JM, Preminger, DG and others (2009). “A comparison of feature classification methods for modeling solar irradiance variation,” Solar Image Analysis and Visualization, pp. 113–127, Springer. Document (link to DOI).

Bajracharya, Max, Howard, Andrew, Matthies, Larry, Tang, Benyang, and Turmon, Michael (2009). “Autonomous off-road navigation with end-to-end learning for the LAGR program,” Journal of Field Robotics, 26(1), pp. 3–25, Wiley. Document (CL#08-3542).

Norton, Charles D, Eldering, Annmarie, Turmon, Michael, and Parker, Jay (2009). “Extending OSSE beyond numerical weather prediction to new areas in Earth observing science,” IEEE Aerospace conference, pp. 1–10. Document (link to DOI) (CL#08-4487).

Yadav, V, Malanson, George P, Bekele, Elias, and Lant, Christopher (2009). “Modeling watershed-scale sequestration of soil organic carbon for carbon credit programs,” Applied Geography, 29(4), pp. 488–500, Pergamon.

Yadav, V and Malanson, George P (2009). “Modeling impacts of erosion and deposition on soil organic carbon in the Big Creek Basin of southern Illinois,” Geomorphology, 106(3-4), pp. 304–314, Elsevier.

2008

Eriksen, H K, Jewell, J B, Dickinson, C, Banday, A J, Górski, K M, and Lawrence, C R (2008). “Joint Bayesian component separation and CMB power spectrum estimation,” The Astrophysical Journal, 676(1), p. 10.

Eriksen, H K, Dickinson, C, Jewell, J B, Banday, A J, Górski, K M, and Lawrence, C R (2008). “The Joint Large-Scale Foreground-CMB Posteriors of the 3 Year WMAP Data,” The Astrophysical Journal, 672(2), pp. L87–L90.

Knosp, B. W., Ao, C. O., Chao, Y., Dang, V., Garay, M. and others (2008). “The JPL Tropical Cyclone Information System: Data and Tools for Researchers,” AGU Fall Meeting Abstracts, pp. A1051. Document.

H. P. Jones, G. A. Chapman, K. L. Harvey, J. M. Pap, D. G. Preminger and others (2008). “A Comparison of Feature Classification Methods for Modeling Solar Irradiance Variation,” Solar Physics, 248(2), pp. 323-337. Document (link to DOI).

M. Sarrel and M. Turmon (2008). “Improved Estimates of Spitzer Space Telescope Data Volumes with Error Bars,” AIAA SPACE 2008, p. 7696. Document (CL 08-0637).

A. Mahabal, S. G. Djorgovski, M. Turmon, J. Jewell, R. Williams and others (2008). “Automated probabilistic classification of transients and variables,” Astronomische Nachrichten: Astronomical Notes, 329(3), pp. 288-291. Document.

Bajracharya, Max, Tang, Benyang, Howard, Andrew, Turmon, Michael, and Matthies, Larry (2008). “Learning long-range terrain classification for autonomous navigation,” 2008 IEEE International Conference on Robotics and Automation, pp. 4018–4024. Document (CL#08-0301 (NTR 45146)).

Mahabal, A, Djorgovski, SG, Williams, R, Drake, A, Donalek, C and others (2008). “Towards Real-Time Classification of Astronomical Transients,” AIP Conference Proceedings, vol. 1082, pp. 287–293. Document.

Yadav, V and malanson, george (2008). “Spatially explicit historical land use land cover and soil organic carbon transformations in Southern Illinois,” Agriculture, Ecosystems & Environment, 123(4), pp. 280–292, elsevier.

Yadav, V, Del Grosso, SJ, Parton, WJ, and Malanson, George P (2008). “Adding ecosystem function to agent-based land use models,” Journal of land use science, 3(1), pp. 27–40, Taylor \& Francis.

2007

Eriksen, H K, Huey, Greg, Saha, R, Hansen, F K, Dick, J and others (2007). “A Reanalysis of the 3 Year Wilkinson Microwave Anisotropy Probe Temperature Power Spectrum and Likelihood,” The Astrophysical Journal, 656(2), pp. 641–652.

Larson, D L, Eriksen, H K, Wandelt, B D, Górski, K M, Huey, G and others (2007). “Estimation of polarized power spectra by Gibbs sampling,” The Astrophysical Journal, 656(2), p. 653.

Eriksen, H K, Huey, Greg, Banday, A J, Górski, K M, Jewell, J B and others (2007). “Bayesian Analysis of the Low-Resolution Polarized 3 Year WMAP Sky Maps,” The Astrophysical Journal, 665(1), pp. L1–L4.

Chin, T M, Turmon, M J, Jewell, J B, and Ghil, M (2007). “An Ensemble-Based Smoother with Retrospectively Updated Weights for Highly Nonlinear Systems,” Monthly Weather Review, 135(1), pp. 186–202.

Yadav, V and Malanson, George (2007). “Progress in soil organic matter research,” Progress in Physical Geography, 31(2), p. 131, Sage Publications.

2006

Youn, D., Choi, W., Lee, H., and Wuebbles, D. J. (2006). “Interhemispheric differences in changes of long-lived tracers in the middle stratosphere over the last decade,” Geophysical Research Letters, 33(3).

A. Howard, M. Turmon, L. Matthies, B. Tang, A. Angelova, and E. Mjolsness (2006). “Towards learned traversability for robot navigation: From underfoot to the far field,” Journal of Field Robotics, 23(11/12), pp. 1005-1017. Document (link to DOI) (CL#06-3711).

2005

Chu, M, Eriksen, H, Knox, L, Gorski, K, Jewell, Jeffrey and others (2005). “Cosmological parameter constraints as derived from the Wilkinson Microwave Anisotropy Probe data via Gibbs sampling and the Blackwell-Rao estimator,” Physical Review D, 71(10), p. 103002.

Turmon, M, Chin, TM, Jewell, JB, and Ghil, M (2005). “Ensemble Smoothing and Markov Chain Monte Carlo for Data Assimilation in Highly Nonlinear Systems,” AGU Fall Meeting Abstracts, pp. IN41A–0309. Document.

2004

O'Dwyer, I J, Eriksen, H K, Wandelt, B D, Jewell, J B, Larson, D L and others (2004). “Bayesian Power Spectrum Analysis of the First-Year Wilkinson Microwave Anisotropy Probe Data,” The Astrophysical Journal, 617(2), pp. L99–L102.

Jewell, Jeffrey, Levin, S, and Anderson, C H (2004). “Application of Monte Carlo Algorithms to the Bayesian Analysis of the Cosmic Microwave Background,” The Astrophysical Journal, 609(1), pp. 1–14.

Eriksen, H K, O'Dwyer, I J, Jewell, J B, Wandelt, B D, Larson, D L and others (2004). “Power Spectrum Estimation from High-Resolution Maps by Gibbs Sampling,” The Astrophysical Journal Supplement Series, 155(2), pp. 227–241.

Gy\Hori, L, Baranyi, T, Turmon, M, and Pap, JM (2004). “Study of differences between sunspot area data determined from ground-based and space-borne observations,” Advances in Space Research, 34(2), pp. 269–273, Elsevier. Document.

J. Pap, I. Ermolli, F. Gyorgi, and M. Turmon (2004). “Study of Solar Magnetic Feature Properties and Irradiance Variations,” 35th COSPAR Scientific Assembly, vol. 35. Document.

T. M. Chin, J. B. Jewell, and M. Turmon (2004). “Phase Changes and State Estimation for Non-linear Systems,” AGU Fall Meeting Abstracts, pp. NG31B-0877. Document.

M. Turmon (2004). “Symmetric Normal Mixtures,” Compstat 2004-Proceedings in Computational Statistics, pp. 1909-16, Physica-Verlag. Document (CL 04-1276).

L. Gyori, T. Baranyi, M. Turmon, and J.M. Pap (2004). “Study of differences between sunspot area data determined from ground-based and space-borne observations,” Adv. Space Res., 34, pp. 269-273.

2003

Li, P., Jacob, J., Braverman, A., and Block, G. (2003). “Visualization of Multi-dimensional MISR Datasets Using Self-Organizing Map,” AGU Fall Meeting Abstracts, pp. A165. Document.

Siegel, H. and Li, P. (2003). “MSLT, Multi Surface Light Table, a Tool for Viewing Faults Under Their Terrain,” AGU Fall Meeting Abstracts, pp. B6. Document.

M. Turmon, R. Granat, D. Katz, and J. Z. Lou (2003). “Tests and tolerances for High-Performance Software-Implemented Fault Detection,” IEEE Trans. Computers, 52(5), pp. 579–591. Document (CL 02-0735).

2002

Turmon, Michael (2002). “Symmetry constraints within the EM algorithm for Gaussian mixtures,” Document.

J. Pap, H. Jones, M. Turmon, and L. Floyd (2002). “Study of the SOHO/VIRGO Irradiance Variations Using MDI and Kitt Peak Images,” Proc. SOHO-11 Workshop. ESA SP-508.

J. M. Pap, M. Turmon, L. Floyd, C. Frölich, and Ch. Wehrli (2002). “Total solar and spectral irradiance variations in solar cycles 21 to 23,” Adv. Space Res., 29(12), pp. 1923-1932, Elsevier. Document.

M. Turmon, J. Pap, and S. Mukhtar (2002). “Statistical Pattern Recognition for Labeling Solar Active Regions: Application to SoHO/MDI Imagery,” Astrophysical Journal, 568(1), pp. 396-407. Document (CL 01-2847).

2001

Jewell, Jeffrey (2001). “A Statistical Characterization of Galactic Dust Emission as a Non-Gaussian Foreground of the Cosmic Microwave Background,” The Astrophysical Journal, 557(2), pp. 700–713.

E. Mjolsness, W. Fink, and M. Turmon (2001). “Stochastic Parameterized Grammars for Bayesian Model Composition,” Interface-2001, Costa Mesa, CA.

M. Turmon (2001). “Mixture models for labeling scientific imagery,” Mixtures 2001: Recent Developments in Mixture Modeling, Hamburg. Presentation (refereed).

2000

E. Mjolsness and M. Turmon (2000). “Stochastic Parameterized Grammars for Bayesian Model Composition,” Neural Inform. Process. Syst. (NeurIPS). Invited talk, modeling workshop.

M. Turmon, R. Granat, and D. S. Katz (2000). “Software-Implemented Fault Detection for High-Performance Space Applications,” Proc. Intl. Conf. Dependable Systems and Networks, pp. 107–116. Document (CL 99-2014).

M. Turmon and R. Granat (2000). “Algorithm-Based Fault Tolerance for Spaceborne Computing: Basis and Implementations,” Proc. IEEE Aerospace Conference, pp. 411-420. Document (CL 00-0901).

1999

Jewell, Jeffrey, Lawrence, C R, and Levin, S (1999). “Bayesian Approach to Foreground Removal,” Microwave Foregrounds, vol. 181, p. 357.

M. Turmon, E. Mjolsness, V. Gluzman, and L. Ramsey (1999). “A Language for Probabilistic Modeling of Scientific Data,” Proc. Second Conf. Highly Structured Stochastic Systems, pp. 298–300, Pavia, Italy.

1998

M. Turmon and S. Mukhtar (1998). “Representing Solar Active Regions with Triangulations,” COMPSTAT: Proc. Computational Statistics 13th Symposium, pp. 473-478, Bristol, UK. Document (CL 98-0761).

M. Turmon (1998). “Machine Learning and Statistics: The Interface,” Jour. American Statistical Association, 93(442), pp. 833-835.

M. Turmon, J. M. Pap, and S. Mukhtar (1998). “Automatically finding solar active regions using SoHO/MDI photograms and magnetograms,” Proc. SoHO 6/GONG '98 Workshop on Structure and Dynamics of the Sun, vol. 418, pp. 979-984. Document.

1997

M. Turmon (1997). “Identification of Solar Features via Markov Random Fields,” Proc. Second Conf. International Assoc. for Statistical Computing (IASC-2), pp. 194–200. Document.

M. Turmon and J. Pap (1997). “Segmenting Chromospheric Images with Markov Random Fields,” Statistical Challenges in Modern Astronomy II, ed. G. Babu and E. Feigelson, pp. 408–411, Springer. Document.

M. Turmon, S. Mukhtar, and J. Pap (1997). “Bayesian Inference for Identifying Solar Active Regions,” Proc. Third Conf. on Knowledge Discovery and Data Mining, ed. D. Heckerman, H. Mannila, D. Pregibon, and R. Uthurusamy, pp. 267-270, MIT Press. Document (CL 97-0755).

M. Turmon and S. Mukhtar (1997). “Recognizing Chromospheric Objects via Markov Chain Monte Carlo,” Proc. IEEE Intl. Conf. Image Processing, vol. 3, pp. 320–323. Document (CL 97-1147).

1995

M. Turmon (1995). Assessing Generalization of Feedforward Neural Networks, PhD thesis, Cornell. Document.

M. Turmon and T. L. Fine (1995). “Empirically Estimating Generalization Ability of Feedforward Neural Networks,” World Conference on Neural Networks, pp. 600-605. Invited paper. Document.

M. Turmon and T. L. Fine (1995). “Assessing Generalization of Feedforward Neural Networks,” IEEE International Symposium on Information Theory (ISIT), p. 168. Document (link to DOI).

1994

M. Turmon and T. L. Fine (1994). “Sample Size Requirements for Feedforward Neural Networks,” Neural Information Processing Systems (NeurIPS), vol. 7, ed. G. , pp. 327-334, Morgan-Kauffman. Document.

M. J. Turmon and M. I. Miller (1994). “Maximum-Likelihood estimation of constrained means and Toeplitz covariances with application to direction-finding,” IEEE Trans. on Signal Processing, 42(5), pp. 1074–1086. Document.

1993

T. L. Fine and M. Turmon (1993). “Sample Size Requirements of Feedforward Neural Network Pattern Classifiers,” IEEE International Symposium on Information Theory (ISIT), p. 432. Document (link to DOI).

1990

M. J. Turmon (1990). “Maximum-likelihood estimation of constrained means and Toeplitz covariances with application to direction-finding,” M.S. thesis, Washington University, St. Louis.

1988

M. I. Miller, M. J. Turmon, J. A. O'Sullivan, and D. L. Snyder (1988). “Spectrum Estimation via Maximum Likelihood Estimation of Toeplitz Constrained Covariances,” Proc. Fourth ASSP Workshop on Spectrum Estimation and Modeling, pp. 182-185. Document (link to DOI).

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