# Earlier Publications

## 2004

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

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

T. M. Chin, J. B. Jewell, and M. Turmon (2004). “Phase Changes and State Estimation for Non-linear Systems,” *Eos Trans. AGU, 85(47), Fall Meet. Suppl.*. Abstract NG31B-0877.

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

## 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.

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.

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

## 2002

H.P. Jones, K.L. Harvey, J.M. Pap and
D.G. Preminger, M. Turmon, and S.R. Walton (2002). “A comparison of feature classification
methods for modeling solar
irradiance variation,” *34th COSPAR Scientific Assembly*.

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. Frolich
, and Ch. Wehrli (2002). “Total solar and spectral irradiance variations in
solar cycles 21 to 23,” *Adv. Space Res.*, **29**, pp. 1923-1932.

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. Download (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, 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.

## 2000

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. Download (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. Download (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. Download (CL 99-1413, 00-1004).

## 1998

M. Turmon and S. Mukhtar (1998). “Representing Solar Active Regions with Triangulations,” *Proc. Compstat-98*, pp. 473-478, Bristol, UK. Download (CL 98-0761).

M. Turmon (1998). “Book review of <it>Machine Learning and Statistics</it>,” *Jour. American Statistical Association*, **93**(442), pp. 833-834.

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*, pp. 979-984.

## 1997

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

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.

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. Download (CL 97-0755).

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

J. Pap, M. Turmon, S. Mukhtar, R. Bogart
, R. Ulrich, C. Frolich, and Ch. Wehrli (1997). “Automated Recognition and Characterization of Solar
Active Regions based on the SOHO/MDI Images,” *Proc. 31st ESLAB Symposium*, pp. 477-482, Nordwijk, Netherlands.

## 1995

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

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.

M. Turmon and T. L. Fine (1995). “Sample Size Requirements for Feedforward Neural Networks,” *Neural Information Processing Systems 7*, ed. G. , pp. 327-334, Morgan-Kauffman.

M. Turmon and T. L. Fine (1995). “Assessing Generalization of Feedforward Neural Networks,” *IEEE 1995 International Symposium on Information Theory*, p. 168. Long paper.

## 1994

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.

## 1993

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

## 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. J. Turmon, M. I. Miller, D. L. Snyder, and J. A. O'Sullivan (1988). “Performance Evaluation of Maximum-Likelihood
Toeplitz Covariance Estimates Generated Using the
Expectation Maximization Algorithm,” *Proc. Fourth ASSP Workshop on
Spectrum Estimation and Modeling*, pp. 182-185.

## 1987

M. J. Turmon and M. I. Miller (1987). “Simulation results for maximum-likelihood
estimation of Toeplitz constrained
covariances,” *Proc. Twenty-first Annual Conference
on Information Sciences and Systems*.

## 1986

M. I. Miller, D. L. Snyder, and M. J. Turmon (1986). “Iterative maximum-likelihood estimation of
Toeplitz-constrained covariances,” *Proc. Twenty-fourth Annual Allerton
Conference on Communication, Control and Computing*, pp. 111-112.

M. I. Miller, D. L. Snyder, and M. J. Turmon (1986). “The application of maximum-entropy and
maximum-likelihood for spectral estimation,” *IEEE 1986 International Symposium on
Information Theory*.