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Related papers: Comment: Lancaster Probabilities and Gibbs Samplin…

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We are thankful to the discussants for their hard, interesting work. The main purpose of our paper was to give reasonably sharp rates of convergence for some simple examples of the Gibbs sampler. We chose examples from expository accounts…

Methodology · Statistics 2008-08-29 Persi Diaconis , Kshitij Khare , Laurent Saloff-Coste

Comment on ``Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data'' [arXiv:0804.2958]

Methodology · Statistics 2008-12-18 Anastasios A. Tsiatis , Marie Davidian

Comment on ``Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data'' [arXiv:0804.2958]

Methodology · Statistics 2008-12-18 Greg Ridgeway , Daniel F. McCaffrey

Comment on ``Performance of Double-Robust Estimators When ``Inverse Probability'' Weights Are Highly Variable'' [arXiv:0804.2958]

Methodology · Statistics 2008-12-18 James Robins , Mariela Sued , Quanhong Lei-Gomez , Andrea Rotnitzky

Rejoinder of "On the Birnbaum Argument for the Strong Likelihood Principle" by Deborah G. Mayo [arXiv:1302.7021].

Methodology · Statistics 2014-11-05 Deborah G. Mayo

This is a Comment on "Universal Fluctuations in Correlated Systems".

Statistical Mechanics · Physics 2009-11-07 B. Zheng , S. Trimper

Comment on "Revision of Bubble Bursting: Universal Scaling Laws of Top Jet Drop Size and Speed"

Fluid Dynamics · Physics 2019-01-30 José Manuel Gordillo , Javier Rodríguez-Rodríguez

I review the classical theory of likelihood based inference and consider how it is being extended and developed for use in complex models and sampling schemes.

Statistics Theory · Mathematics 2013-10-01 Nancy Reid

Gibbs random fields play an important role in statistics, for example the autologistic model is commonly used to model the spatial distribution of binary variables defined on a lattice. However they are complicated to work with due to an…

Computation · Statistics 2012-07-25 Nial Friel

Discussion of "Likelihood Inference for Models with Unobservables: Another View" by Youngjo Lee and John A. Nelder [arXiv:1010.0303]

Methodology · Statistics 2010-10-06 Xiao-Li Meng

Gibbs random fields play an important role in statistics. However they are complicated to work with due to an intractability of the likelihood function and there has been much work devoted to finding computational algorithms to allow…

Methodology · Statistics 2014-04-01 Nial Friel

I give a comment on arXiv:1802.01804v3 [hep-ph]

High Energy Physics - Phenomenology · Physics 2018-07-19 Dirk Dubbers

Gibbs-type random probability measures and the exchangeable random partitions they induce represent the subject of a rich and active literature. They provide a probabilistic framework for a wide range of theoretical and applied problems…

Statistics Theory · Mathematics 2015-04-06 Sergio Bacallado , Stefano Favaro , Lorenzo Trippa

Response to Comment by A. Bussmann-Holder (arXiv:0909.3603)

Superconductivity · Physics 2009-10-28 V. G. Kogan , C. Martin , R. Prozorov

Reply to the Comment physics/0307134 by A. Helmstetter and D. Sornette

Rejoinder to "The Future of Indirect Evidence" [arXiv:1012.1161]

Methodology · Statistics 2010-12-08 Bradley Efron

Comment on ``The 2005 Neyman Lecture: Dynamic Indeterminism in Science'' [arXiv:0808.0620]

Methodology · Statistics 2008-08-06 Grace L. Yang

Comment on ``The 2005 Neyman Lecture: Dynamic Indeterminism in Science'' [arXiv:0808.0620]

Methodology · Statistics 2008-08-06 Hans R. Künsch

We comment on Z. D. Zhang's Response [arXiv:0812.2330] to our recent Comment [arXiv:0811.3876] addressing the conjectured solution of the three-dimensional Ising model reported in [arXiv:0705.1045].

Statistical Mechanics · Physics 2009-11-13 F. Y. Wu , B. M. McCoy , M. E. Fisher , L. Chayes

In this paper, closed-form expressions are presented for the variation of the expectation of a given function due to changes in the probability measure used for the expectation. They unveil interesting connections with Gibbs probability…

Information Theory · Computer Science 2025-04-29 Samir M. Perlaza , Gaetan Bisson