Inference on Markov random fields: methods and applications

Inference on Markov random fields: methods and applications

<p>This thesis considers the problem of performing inference on undirected graphical models with continuous state spaces. These models represent conditional independence structures that can appear in the context of Bayesian Machine Learning. In the thesis, we focus on computational methods and...

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Bibliografiske detaljer
Hovedforfatter:	Lienart, T
Andre forfattere:	Doucet, A
Format:	Thesis
Sprog:	English
Udgivet:	2017
Fag:	Computational statistics Machine learning Bayesian statistics

Lignende værker

Neural networks for inference, inference for neural networks
af: Webb, S
Udgivet: (2018)

Piecewise-deterministic Markov chain Monte Carlo
af: Vanetti, P
Udgivet: (2019)

Information-Geometric Markov Chain Monte Carlo Methods Using Diffusions
af: Samuel Livingstone, et al.
Udgivet: (2014-06-01)

Bayesian inference with geodetic applications /
af: 253571 Koch, Karl-Rudolf, et al.
Udgivet: (1990)

The predictive view of Bayesian inference
af: Fong, CHE
Udgivet: (2021)

A posterior probability approach for gene regulatory network inference in genetic perturbation data
af: William Chad Young, et al.
Udgivet: (2016-07-01)

Understanding approximation for Bayesian inference in neural networks
af: Farquhar, S
Udgivet: (2022)

Large scale methods for kernels, causal inference and survival modelling
af: Hu, R
Udgivet: (2022)

Bayesian parametric inference /
af: 408947 Bansal, Ashok K
Udgivet: (2007)

Markov chain Monte Carlo : stochastic simulation for Bayesian inference /
af: 360681 Gamerman, Dani, et al.
Udgivet: (2006)

An introduction to Bayesian inference and decision /
af: 219379 Winkler, Robert L.
Udgivet: (1972)

A nonparametric Bayesian method of translating machine learning scores to probabilities in clinical decision support
af: Brian Connolly, et al.
Udgivet: (2017-08-01)

Scalable Bayesian methods for the analysis of neuroimaging data
af: Menacher, AK
Udgivet: (2024)

Global Coronal Magnetic Field Estimation Using Bayesian Inference
af: Upasna Baweja, et al.
Udgivet: (2024-01-01)

On the properties of random feature methods
af: Li, Z
Udgivet: (2020)

Decision theory and Bayesian inference : Hypothesis testing 1; Hypothesis 2
af: 3379 Open University Fundamentals of Statistical Inference Course Team
Udgivet: (1977)

Statistical Inference in fMRI using Random Field Theory and resampling methods
af: Davenport, S
Udgivet: (2021)

Perception as Bayesian inference /
af: Knill, David C., et al.
Udgivet: (2006)

Bayesian decision problems and Markov chains /
af: 228521 Martin, James John
Udgivet: (1967)

Empirical performance of simple statistical inference-type models with feature extraction in comparison to modern machine learning methods concerning regression and classification problems
af: Dittgen, M
Udgivet: (2019)

Bayesian Structure Learning and Sampling of Bayesian Networks with the R Package BiDAG
af: Polina Suter, et al.
Udgivet: (2023-01-01)

Inference and applications of genetic relatedness in human populations
af: Nait Saada, J
Udgivet: (2022)

Bayesian reasoning and machine learning /
af: Barber, David, 1968-
Udgivet: (2012)

Similarity - based virtual screening using bayesian inference network for searching chemical database /
af: 276771 Ammar Abdo Mohammed Hasan, et al.
Udgivet: (2009)

Applied Bayesian modeling and causal inference from incomplete-data perspectives : an essential journey with Donald Rubins statistical family /
af: Rubin, Donald B., et al.
Udgivet: (2004)

Bayesian stratified random sampling using auxiliary information /
af: 295764 Sekkappan, R. M.
Udgivet: (1981)

Similarity - based virtual screening using bayesian inference network for searching chemical database [electronic resource] /
af: 276771 Ammar Abdo Mohammed Hasan, et al.
Udgivet: (2009)

Bayesian network technologies : applications and graphical models /
af: Mittal, Ankush, et al.
Udgivet: (2007)

Bayesian statistical inference
af: Bruno De Finetti
Udgivet: (2017-04-01)

Bayesian inference of Weibull distribution for right and interval censored data
af: Guure, Chris Bambey
Udgivet: (2013)

A Hierarchical Bayesian Framework for Inferring the Stellar Obliquity Distribution
af: Jiayin Dong, et al.
Udgivet: (2023-01-01)

Likelihood-free Bayesian inference for dynamic, stochastic simulators in the social sciences
af: Dyer, J
Udgivet: (2022)

A Web Simulator to Assist in the Teaching of Bayes’ Theorem
af: M. J. Bárcena, et al.
Udgivet: (2019-05-01)

Implementation of Traditional (S-R)-Based PM Method with Bayesian Inference
af: Mohammad Saber Fallah Nezhad, et al.
Udgivet: (2014-02-01)

Advanced mapping of environmental data : geostatistics, machine learning, and Bayesian maximum entropy /
af: Kanevski, Mikhail
Udgivet: (c200)

A fortiori Bayesian inference in psychological research
af: Lavin, Milton L.
Udgivet: (2009)

Approximate Bayesian Inference
af: Pierre Alquier
Udgivet: (2020-11-01)

Bayesian inference and maximum entropy methods in science and engineering : 25th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, San Jose, California, 7-12 August 2005 /
af: International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (25th : 2005 : San Jose, CA.), et al.
Udgivet: (2005)

Approximation methods for efficient learning of bayesian networks /
af: 196684 Riggelsen, Carsten
Udgivet: (2008)

Applied Bayesian hierarchical methods /
af: 318139 Congdon, P.
Udgivet: (2010)