David A. Spade

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All published works

Action	Title	Year	Authors
+	A class of statistical models for the motion of Daphnia over small time scales	2023	David A. Spade Imani Aliyu Jules van Horen J. Rudi Strickler
+	Approximate bounding of mixing time for multiple-step Gibbs samplers	2022	David A. Spade
+ PDF Chat	Approximate verification of geometric ergodicity for multiple-step Metropolis transition kernels	2021	David A. Spade
+	Estimating drift and minorization coefficients for Gibbs sampling algorithms	2021	David A. Spade
+	A Monte Carlo integration approach to estimating drift and minorization coefficients for Metropolis–Hastings samplers	2021	David A. Spade
+	Markov chain Monte Carlo methods: Theory and practice	2020	David A. Spade
+	Geometric ergodicity of a hybrid sampler for Bayesian inference of phylogenetic branch lengths	2015	David A. Spade Radu Herbei Laura Kubatko
+	A computational procedure for estimation of the mixing time of the random-scan Metropolis algorithm	2015	David A. Spade
+	A note on the relaxation time of two Markov chains on rooted phylogenetic tree spaces	2013	David A. Spade Radu Herbei Laura Kubatko

Common Coauthors

Coauthor	Papers Together
Radu Herbei	2
Laura Kubatko	2
J. Rudi Strickler	1
Imani Aliyu	1
Jules van Horen	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Inference from Iterative Simulation Using Multiple Sequences	1992	Andrew Gelman Donald B. Rubin	7
+	Minorization Conditions and Convergence Rates for Markov Chain Monte Carlo	1995	Jeffrey S. Rosenthal	7
+	Geometric ergodicity of Metropolis algorithms	2000	Søren Fiig Jarner Ernst Hansen	7
+	On the geometric ergodicity of hybrid samplers	2003	Gersende Fort Éric Moulines Gareth O. Roberts Jeffrey S. Rosenthal	7
+ PDF Chat	Two convergence properties of hybrid samplers	1998	Gareth O. Roberts Jeffrey S. Rosenthal	6
+	None	1998	Mary Kathryn Cowles Jeffrey S. Rosenthal	6
+ PDF Chat	Geometric Ergodicity and Hybrid Markov Chains	1997	Gareth O. Roberts Jeffrey S. Rosenthal	6
+	A computational procedure for estimation of the mixing time of the random-scan Metropolis algorithm	2015	David A. Spade	5
+	Continuous Contour Monte Carlo for Marginal Density Estimation With an Application to a Spatial Statistical Model	2007	Faming Liang	5
+	Bayesian Model Selection in Finite Mixtures by Marginal Density Decompositions	2001	Hemant Ishwaran Lancelot F. James Jiayang Sun	5
+	Evaluating the Accuracy of Sampling-Based Approaches to the Calculation of Posterior Moments	1991	John Geweke	4
+	Gibbs Sampler Convergence Criteria	1995	Arnold Zellner Chung-ki Min	4
+	Geometric convergence and central limit theorems for multidimensional Hastings and Metropolis algorithms	1996	Gareth O. Roberts	4
+	How Many Iterations in the Gibbs Sampler?	1991	Adrian E. Raftery Steven M. Lewis	4
+ PDF Chat	Weak convergence and optimal scaling of random walk Metropolis algorithms	1997	Susan A. Gelman Walter R. Gilks Gareth O. Roberts	4
+ PDF Chat	Rates of convergence of the Hastings and Metropolis algorithms	1996	Kerrie Mengersen Richard L. Tweedie	3
+	A Monte Carlo integration approach to estimating drift and minorization coefficients for Metropolis–Hastings samplers	2021	David A. Spade	2
+	Monte Carlo sampling methods using Markov chains and their applications	1970	W. Keith Hastings	2
+ PDF Chat	Quantitative bounds for Markov chain convergence: Wasserstein and total variation distances	2010	Neal Madras Deniz Sezer	2
+ PDF Chat	MCMC Analysis of Diffusion Models With Application to Finance	2001	Bjørn Eraker	2
+	Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images	1984	Stuart Geman Donald Geman	2
+	Convergence Diagnostics of the Gibbs Sampler	1992	Gareth O. Roberts	2
+ PDF Chat	Honest Exploration of Intractable Probability Distributions via Markov Chain Monte Carlo	2001	James P. Hobert Galin L. Jones	2
+	Geometric Ergodicity of Gibbs and Block Gibbs Samplers for a Hierarchical Random Effects Model	1998	James P. Hobert Charles J. Geyer	2
+ PDF Chat	Convergence of Slice Sampler Markov Chains	1999	Gareth O. Roberts Jeffrey S. Rosenthal	2
+	Annealed Importance Sampling	1998	Radford M. Neal	2
+ PDF Chat	Sufficient burn-in for Gibbs samplers for a hierarchical random effects model	2004	Galin L. Jones James P. Hobert	2
+	Convergence analyses and comparisons of Markov chain Monte Carlo algorithms in digital communications	2002	Rong Chen Jun S. Liu Xiaodong Wang	2
+	Gibbs sampling in Bayesian networks	1990	Tomas Hrycej	2
+	A reversible jump sampler for autoregressive time series	2002	Paul T. Troughton Simon Godsill	1
+ PDF Chat	Markov Chains for Exploring Posterior Distributions	1994	Luke Tierney	1
+ PDF Chat	Mixing Time for a Markov Chain on Cladograms	2000	David Aldous	1
+ PDF Chat	The Random Walk Metropolis: Linking Theory and Practice Through a Case Study	2010	Chris Sherlock Paul Fearnhead Gareth O. Roberts	1
+	Reversible jump MCMC	2009	Peter J. Green David I. Hastie	1
+	Annealed Importance Sampling	1998	Radford M. Neal	1
+	The Mathematical Theory of the Dynamics of Biological Populations.	1974	Richard F. Green M. S. Bartlett R. W. Hiorns	1
+	A Gibbs Sampler for Learning DAGs.	2016	Robert J. B. Goudie Sach Mukherjee	1
+	Estimation of the Branch Points of a Branching Diffusion Process	1970	A. W. F. Edwards	1
+ PDF Chat	Estimation of risk contributions with MCMC	2019	Takaaki Koike Mihoko Minami	1
+	Reversible jump Markov chain Monte Carlo algorithms for Bayesian variable selection in logistic mixed models	2017	Jia-Chiun Pan Mei‐Hsien Lee Miao-Yu Tsai	1
+	Slice Sampling	2000	Radford M. Neal	1
+	Estimating drift and minorization coefficients for Gibbs sampling algorithms	2021	David A. Spade	1
+ PDF Chat	Approximate Spectral Gaps for Markov Chain Mixing Times in High Dimensions	2021	Yves F. Atchadé	1
+ PDF Chat	Slice sampling	2003	Radford M. Neal	1
+	An <i>O</i>(<i>n</i><sup>2</sup>) bound for the relaxation time of a Markov chain on cladograms	2001	Jason Schweinsberg	1
+	A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms	1990	Greg C. G. Wei Martin A. Tanner	1
+ PDF Chat	Monte Carlo integration via importance sampling: dimensionality effect and an adaptive algorithm	1991	Man‐Suk Oh	1
+	Markov Chain Monte Carlo in Practice	1997	Mauro Gasparini W. R. Gilks Sylvia Richardson D. J. Spiegelhalter	1
+	Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review	1996	Mary Kathryn Cowles Bradley P. Carlin	1
+	Efficient Metropolis Jumping Rules	1996	Andrew Gelman Gareth O. Roberts Walter R. Gilks	1