Improving the Efficiency of Markov Chain Monte Carlo for Analyzing the Orbits of Extrasolar Planets (Ford, preprint)

Linear and Bayesian Planet Detection Algorithms for the Terrestrial Planet Finder (Kasdin, Braems)

On the Size Distribution of Close-In Extrasolar Giant Planets (Gaudi)

On the Period Distribution of Close-In Extrasolar Giant Planets (Gaudi, Seager, Mallen-Ornelas)

On the Relation Between Hot Jupiters and the Roche Limit (Ford, Rasio)

Nested Sampling for General Bayesian Computation (Skilling), and accompanying program site: BayeSys3 program (Skilling, MacKay)

Sequential importance sampling for nonparametric Bayes models: The next generation (MacEachern, Steven N. and Clyde, Merlise and Liu, Jun S. The Canadian Journal of Statistics 27 (1999): 251--267)

Attaining Doppler Precision of 3 m/s (Butler, R. P. et al. Pub. Astron. Soc. of the Pacific, v. 108, 500-509, 1996)

Some papers on adaptive importance sampling, suggested by Merlise:

• "Approximating Posterior Distributions by Mixture", West, 1993.
• "Integration of Multimodal Functions by Monte Carlo Importance Sampling", Oh & Berger, 1993.
• "Local Adaptive Importance Sampling for Multivariate Densities with Strong Nonlinear Relationships", Givens & Raftery, 1996.
• "Faster Adaptive Importance Sampling in Low Dimensions", Oehlert, 1998.
• "Adaptive Importance Sampling by Mixtures of Products of Beta Distributions", Owen & Zhou, 1999.
• "Safe and Effective Importance Sampling", Owen & Zhou, 1998.
• "An Adaptive Importance Sampling Technique", Pennanen & Koivu

Papers on adaptive design:

• "Adaptive Scheduling Algorithms for Planet Searches" (Ford)
• "Bayesian Adaptive Exploration" (Loredo)

"A Note on Comparison of Conditional Means" (Babu)

"Computing Bayes Factors Using Thermodynamic Integration" (Lartillot and Philippe)

"Bayesian Posterior Distributions Over Sets of Possible Models With Inferences Computed by Monte Carlo Integration" (L. Stewart and W. W. Davis, Scanned from The Statistician, 1986, v. 35 pp. 175-182.)

Model Uncertainty (Clyde and George)

On Bayesian Model and Variable Selection Using MCMC (Dellaportas, Forster, and Ntzoufras)

"Easy Estimation of Normalizing Constants and Bayes Factors from Posterior Simulation: Stabilizing the Harmonic Mean Estimator" (Satagopan, Newton and Raftery)