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...

Szczegółowa specyfikacja

Opis bibliograficzny
1. autor:	Lienart, T
Kolejni autorzy:	Doucet, A
Format:	Praca dyplomowa
Język:	English
Wydane:	2017
Hasła przedmiotowe:	Computational statistics Machine learning Bayesian statistics

Podobne zapisy

Neural networks for inference, inference for neural networks
od: Webb, S
Wydane: (2018)

Piecewise-deterministic Markov chain Monte Carlo
od: Vanetti, P
Wydane: (2019)

Information-Geometric Markov Chain Monte Carlo Methods Using Diffusions
od: Samuel Livingstone, i wsp.
Wydane: (2014-06-01)

Bayesian inference with geodetic applications /
od: 253571 Koch, Karl-Rudolf, i wsp.
Wydane: (1990)

The predictive view of Bayesian inference
od: Fong, CHE
Wydane: (2021)

A posterior probability approach for gene regulatory network inference in genetic perturbation data
od: William Chad Young, i wsp.
Wydane: (2016-07-01)

Understanding approximation for Bayesian inference in neural networks
od: Farquhar, S
Wydane: (2022)

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

Bayesian parametric inference /
od: 408947 Bansal, Ashok K
Wydane: (2007)

Markov chain Monte Carlo : stochastic simulation for Bayesian inference /
od: 360681 Gamerman, Dani, i wsp.
Wydane: (2006)

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

A nonparametric Bayesian method of translating machine learning scores to probabilities in clinical decision support
od: Brian Connolly, i wsp.
Wydane: (2017-08-01)

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

Global Coronal Magnetic Field Estimation Using Bayesian Inference
od: Upasna Baweja, i wsp.
Wydane: (2024-01-01)

On the properties of random feature methods
od: Li, Z
Wydane: (2020)

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

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

Perception as Bayesian inference /
od: Knill, David C., i wsp.
Wydane: (2006)

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

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

Bayesian Structure Learning and Sampling of Bayesian Networks with the R Package BiDAG
od: Polina Suter, i wsp.
Wydane: (2023-01-01)

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

Bayesian reasoning and machine learning /
od: Barber, David, 1968-
Wydane: (2012)

Similarity - based virtual screening using bayesian inference network for searching chemical database /
od: 276771 Ammar Abdo Mohammed Hasan, i wsp.
Wydane: (2009)

Applied Bayesian modeling and causal inference from incomplete-data perspectives : an essential journey with Donald Rubins statistical family /
od: Rubin, Donald B., i wsp.
Wydane: (2004)

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

Similarity - based virtual screening using bayesian inference network for searching chemical database [electronic resource] /
od: 276771 Ammar Abdo Mohammed Hasan, i wsp.
Wydane: (2009)

Bayesian network technologies : applications and graphical models /
od: Mittal, Ankush, i wsp.
Wydane: (2007)

Bayesian statistical inference
od: Bruno De Finetti
Wydane: (2017-04-01)

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

A Hierarchical Bayesian Framework for Inferring the Stellar Obliquity Distribution
od: Jiayin Dong, i wsp.
Wydane: (2023-01-01)

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

A Web Simulator to Assist in the Teaching of Bayes’ Theorem
od: M. J. Bárcena, i wsp.
Wydane: (2019-05-01)

Implementation of Traditional (S-R)-Based PM Method with Bayesian Inference
od: Mohammad Saber Fallah Nezhad, i wsp.
Wydane: (2014-02-01)

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

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

Approximate Bayesian Inference
od: Pierre Alquier
Wydane: (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 /
od: International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (25th : 2005 : San Jose, CA.), i wsp.
Wydane: (2005)

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

Applied Bayesian hierarchical methods /
od: 318139 Congdon, P.
Wydane: (2010)