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Consistent Bayesian learning for neural network models : theory and computation

Consistent Bayesian learning for neural network models : theory and computation

Jantre, Sanket Rajendra

Text (2022)

Part of Electronic Theses & Dissertations

Variational bayes inference of Ising models and their applications

Variational bayes inference of Ising models and their applications

Text (2022)

Part of Electronic Theses & Dissertations

Variational bayes deep neural network : theory, methods and applications

Variational bayes deep neural network : theory, methods and applications

Text (2021)

Part of Electronic Theses & Dissertations

CALIBRATED COMPUTER MODELS USING MARKOV CHAIN MONTE CARLO AND VARIATIONAL BAYES

CALIBRATED COMPUTER MODELS USING MARKOV CHAIN MONTE CARLO AND VARIATIONAL BAYES

Text (2023)

Part of Electronic Theses & Dissertations

Quantile regression and extremes

Quantile regression and extremes

Text (2020)

Part of Electronic Theses & Dissertations

Mixture innovations' based auto-regressive processes with application to sea level rise data

Mixture innovations' based auto-regressive processes with application to sea level rise data

Alshahrani, Fatimah

Text (2020)

Part of Electronic Theses & Dissertations

NORMALIZING FLOWS AIDED VARIATIONAL INFERENCE FOR UNCERTAINTY QUANTIFICATION

NORMALIZING FLOWS AIDED VARIATIONAL INFERENCE FOR UNCERTAINTY QUANTIFICATION

Premchandar, Sumegha

Text (2024)

Part of Electronic Theses & Dissertations

LEARNING THE INTRINSIC DIMENSION OF COMPLEX LARGE DATASETS

LEARNING THE INTRINSIC DIMENSION OF COMPLEX LARGE DATASETS

Weaver, Joseph M.

Text (2024)

Part of Electronic Theses & Dissertations