https://www.bayeswatch.com/
Bayesian and Neural Systems · BayesWatch
bayesian and neural systems
https://www.allendowney.com/blog/
Probably Overthinking It - Data science, Bayesian Statistics, and other ideas
Data science, Bayesian Statistics, and other ideas
probably overthinking itdata sciencebayesian statisticsideas
https://jmlr.org/papers/v27/25-0858.html
LazyDINO: Fast, Scalable, and Efficiently Amortized Bayesian Inversion via Structure-Exploiting and...
fastscalableefficiently
https://www.bayesrulesbook.com/
Bayes Rules! An Introduction to Applied Bayesian Modeling
An introduction to applied Bayesian modeling.
an introductionbayesrulesappliedmodeling
https://bayesian.org/
International Society for Bayesian Analysis | The International Society for Bayesian Analysis...
international societybayesian analysis
https://arxiv.org/abs/2507.23768
[2507.23768] Formal Bayesian Transfer Learning via the Total Risk Prior
Abstract page for arXiv paper 2507.23768: Formal Bayesian Transfer Learning via the Total Risk Prior
transfer learningformalbayesian
https://arxiv.org/abs/2405.18758
[2405.18758] Learning to Continually Learn with the Bayesian Principle
Abstract page for arXiv paper 2405.18758: Learning to Continually Learn with the Bayesian Principle
learn withlearningcontinuallybayesianprinciple
https://staburo.com/bayesian_designs_in_clinical_trials/
Bayesian designs in clinical trials | Data science, biostatistics, data transparency,...
clinical trialsdata sciencebayesiandesignsbiostatistics
https://www.gtap.agecon.purdue.edu/resources/res_display.asp?RecordID=5545
GTAP Resources: Resource Display: A Bayesian methodology for building consistent dat...
Global Trade Analysis Project (GTAP), Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, Global Economic Analysis,...
display aresources
https://cris.pucp.edu.pe/en/publications/application-of-the-full-bayesian-significance-test-to-model-selec/
Application of the full Bayesian significance test to model selection under informative sampling -...
https://papers.nips.cc/paper_files/paper/2023/hash/2f76a3a0f44263b5e56fec69ee1220f9-Abstract-Conference.html
AdaVAE: Bayesian Structural Adaptation for Variational Autoencoders
bayesianstructuraladaptationautoencoders
https://swoba.hhs.se/oruesi/abs/oruesi2012_012.htm
S-WoBA: Forecasting with Bayesian Vector Autoregressions
wobaforecastingbayesianvector
https://ir-library.ku.ac.ke/items/8ca2f1da-c74d-4e5b-99ed-82156bc5d0ac
A Bayesian Test for Equality of Scale Parameters of Several Exponential Distributions
This article develops a Bayesian test for equality of scale parameters of several exponential distributions. The null distribution of the test statistic is...
bayesiantestequality
https://arxiv.org/abs/2509.07109
[2509.07109] Bayesian Analysis of the Neutron Star Equation of State and Model Comparison: Insights...
Abstract page for arXiv paper 2509.07109: Bayesian Analysis of the Neutron Star Equation of State and Model Comparison: Insights from PSR J0437+4715, PSR...
https://uwspace.uwaterloo.ca/items/109e870d-03f5-4f0a-b503-4b855595b89b
Evaluation of High-Speed Videoendoscopy for Bayesian Inference on Reduced Order Vocal Fold Models
The ability to use our voice occurs through a complex bio-mechanical process known as phonation. The study of this process is interesting, not only because of...
https://proceedings.iclr.cc/paper_files/paper/2025/hash/109f8f2b99aec1221095d35edba0ee72-Abstract-Conference.html
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding
bayesian optimizationoptimizingposteriorsamplesvia
https://www.knowledge-synergy.com/
Knowledge Synergy Inc. - Topic Maps (トピックマップ) and Bayesian Network (ベイジアンネットワーク)
topic mapsbayesian networkknowledgesynergyinc
https://publica.fraunhofer.de/entities/publication/45a09f78-61d2-4f1f-a781-266cbc5d328e
Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design
Ultrasonic wire bonding is a solid-state joining process used to form electrical interconnections in micro andpower electronics and batteries. A high frequency...
bayesian optimizationbatchconstrained
https://research.jku.at/en/publications/bayesian-design-forminimizing-prediction-uncertainty-in-bivariate/
Bayesian design forminimizing prediction uncertainty in bivariate spatial responses with...
bayesiandesignpredictionuncertaintybivariate
https://www.actaenergetica.org/index.php/journal/article/view/358
Bayesian Algorithms for Calculating Symbolic Rates of the Unreliability and Reliability of the...
of thebayesianalgorithmscalculatingsymbolic
https://philosophies.de/index.php/tag/bayesian/
Bayesian Archive - philosophies
bayesianarchivephilosophies
https://aperta.ulakbim.gov.tr/records/63041
Nonlinear time series forecasting with Bayesian neural networks
The Bayesian learning provides a natural way to model the nonlinear structure as the artificial neural networks due to their capability to cope with the model...
time series forecastingnonlinearbayesianneuralnetworks
https://www.ekonomie-management.cz/archiv/search/detail/216-the-bayesian-method-and-short-term-sales-forecasting/
The Bayesian Method and Short-Term Sales Forecasting - Journal Economics and Management -...
short termsales forecastingbayesianmethod
https://pure.psu.edu/en/publications/bayesian-epistasis-association-mapping-via-snp-imputation/
Bayesian epistasis association mapping via SNP imputation - Penn State
bayesianepistasisassociationmappingvia
https://statistics.stanford.edu/events/statistics-seminar/some-markovian-processes-derived-bayesian-ideas
On some Markovian processes derived from Bayesian ideas | Department of Statistics
department ofprocessesderived
https://www-dev.dri.edu/publication/12607/
Bayesian reconstruction of binary media with unresolved fine-scale spatial structures - DRI
Aug 28, 2025 - Bayesian reconstruction of binary media with unresolved fine-scale spatial structures Ray, J., McKenna, S., van Bloemen Waanders, B., Marzouk, Y. (2012)....
https://research.tue.nl/nl/publications/bayesian-nonparametric-system-reliability-using-sets-of-priors/
Bayesian nonparametric system reliability using sets of priors - Onderzoeksportaal Eindhoven...
system reliabilitybayesianusingsetspriors
https://www.inderscience.com/info/e_inarticle.php?artid=80077
Article: Bayesian estimation of a new Keynesian policy model for a small open economy Journal:...
Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science,...
https://scholarworks.iu.edu/dspace/items/5df1ed11-a65c-442a-9a2f-779854a35df8/full
Feasibility of interleaved Bayesian adaptive procedures in estimating the equal-loudness contour
A Bayesian adaptive procedure, the interleaved-equal-loudness contour (IELC) procedure, was developed to improve the efficiency in estimating the...
https://pure.nwpu.edu.cn/en/publications/a-bayesian-network-prediction-model-for-gallbladder-polyps-with-m/
A Bayesian network prediction model for gallbladder polyps with malignant potential based on...
https://www2.isye.gatech.edu/~jsokol/lrmc/TEAMS/2020/Elon.lrmc.sort3.php
LRMC | LRMC (Bayesian) results through games of 3/11/2020
bayesianresultsgames
https://www.clevelandfed.org/publications/working-paper/2020/wp-2002r-capturing-macroeconomic-tail-risks-with-bars
Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions
A rapidly growing body of research has examined tail risks in macroeconomic outcomes. Most of this work has focused on the risks of significant declines in...
capturingmacroeconomictailrisksbayesian
https://www.sensamarket.com/institutional-investor/manager/0001632551-bayesian-capital-management-lp
Bayesian Capital Management, LP Stock Trades - Bayesian Capital Management, Lp 13F
Bayesian Capital Management, Lp reported 42 holdings with total value $81.95B as of Q1 2026. Top holdings included
capital managementbayesianlpstocktrades
https://proceedings.neurips.cc/paper_files/paper/2009/hash/f85454e8279be180185cac7d243c5eb3-Abstract.html
A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation
bayesianmodelsimultaneous
https://www2.isye.gatech.edu/~jsokol/lrmc/TEAMS/2026/Houston_Chr.lrmc.sort4.php
LRMC | LRMC (Bayesian) results through games of 3/15/2026
bayesianresultsgames
https://rdrr.io/cran/BGGM/man/explore.html
explore: GGM: Exploratory Hypothesis Testing in BGGM: Bayesian Gaussian Graphical Models
hypothesis testingexploreexploratory
https://boa.unimib.it/handle/10281/459458
A Bayesian method to infer copy number clones from single-cell RNA and ATAC sequencing
https://www2.isye.gatech.edu/~jsokol/lrmc/TEAMS/2020/Oral_Roberts.lrmc.sort2.php
LRMC | LRMC (Bayesian) results through games of 3/11/2020
bayesianresultsgames
https://www.handbook.unsw.edu.au/undergraduate/courses/2019/math3871
Handbook - Bayesian Inference and Computation
The UNSW Handbook is your comprehensive guide to degree programs, specialisations, and courses offered at UNSW.
bayesian inferencehandbookcomputation
https://prosjektbanken.forskningsradet.no/en/project/FORISS/240873
Penalised Complexity-priors: A new tool to define default priors and robustify Bayesian models -...
Bayesian statistics aims firstly to accurately describe a priori beliefs about a phenomenon based on expert knowledge and previously performed studies, and...
https://www.cambridge.org/core/journals/antiquity/article/origins-endings-and-temporal-pluralities-bayesian-perspectives-on-the-kuraaraxes-phenomenon/55109565BCEB27B64CA6B42335F9411E
Origins, endings and temporal pluralities: Bayesian perspectives on the Kura-Araxes phenomenon |...
Origins, endings and temporal pluralities: Bayesian perspectives on the Kura-Araxes phenomenon - Volume 100 Issue 409
https://openresearch-repository.anu.edu.au/items/2368b7b2-31fe-4254-b93b-a6f4d348be3a
Evidence cross-validation and Bayesian inference of MAST plasma equilibria
In this paper, current profiles for plasma discharges on the Mega-Ampere Spherical Tokamak (MAST) are directly calculated from pickup coil, flux loop and...
cross validationbayesian inferenceevidencemastplasma
https://startup-house.com/glossary/what-is-bayesian-network
Bayesian Network - Startup House
Learn about Bayesian networks and how they can be used to model complex relationships and make predictions.
bayesian networkstartuphouse
https://github.com/evanmunro/lda-survey-exp
GitHub - evanmunro/lda-survey-exp: R scripts for figures and analysis for paper on using Bayesian...
R scripts for figures and analysis for paper on using Bayesian hierarchical latent variable models for analyzing economic survey data - evanmunro/lda-survey-exp
https://scholarx.skku.edu/item/85f6c6ca-50f9-40f5-9dd3-98eaeb193a38
:: Mhorseshoe package in R: Approximate algorithm for the horseshoe prior in Bayesian linear model
The horseshoe prior is a continuous shrinkage prior frequently used in high-dimensional Bayesian sparse linear regression models. Although the horseshoe prior t
https://research.wu.ac.at/en/activities/telescoping-mixtures-learning-the-number-of-components-and-data-c-20/
Telescoping mixtures - Learning the number of components and data clusters in Bayesian mixture...
https://www2.isye.gatech.edu/~jsokol/lrmc/TEAMS/2026/Alcorn_St.lrmc.sort4.php
LRMC | LRMC (Bayesian) results through games of 3/15/2026
bayesianresultsgames
https://drum.lib.umd.edu/items/9b2ed869-9425-4873-8b8f-f45a760f83d2
STOCHASTIC OPTIMIZATION: APPROXIMATE BAYESIAN INFERENCE AND COMPLETE EXPECTED IMPROVEMENT
Stochastic optimization includes modeling, computing and decision making. In practice, due to the limitation of mathematical tools or real budget, many...
stochastic optimizationbayesian inferenceapproximatecompleteexpected
https://bytez.com/docs/arxiv/1901.05906/paper
Applying SVGD to Bayesian Neural Networks for Cyclical Time-Series Prediction and Inference | Read...
Jan 17, 2019 - A regression-based BNN model is proposed to predict spatiotemporal quantities like hourly rider demand with calibrated uncertainties. The main contributions of...
https://gsi.upm.es/en/investigacion/publicaciones?view=publication&task=show&id=550
Publication - A Bayesian Argumentation Framework for Distributed Fault Diagnosis in...
fault diagnosispublicationbayesianargumentationframework
https://is.mpg.de/ei/publications/badirlietal23
Classifying the unknown: Insect identification with deep hierarchical Bayesian learning | Empirical...
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to...
the unknowninsect identificationbayesian learningclassifying
https://pure.bit.edu.cn/zh/publications/refine-stereo-correspondence-using-bayesian-network-and-dynamic-p/
Refine stereo correspondence using Bayesian network and dynamic programming on a color based...
https://jpsht.jps.jp/article/5-008/
Exploring Materials without Data Exposure: A Bayesian Optimizer using Secure Computation - JPS Hot...
Feb 6, 2025 - Researchers in the field of materials science are applying informatics methods to optimize the properties of materials. To accelerate their search, they need...
https://www.maxapress.com/article/doi/10.48130/emst-0024-0026
An interpretable machine learning model for predicting forest fire danger based on Bayesian...
https://openreview.net/forum?id=z2GkZfVSlkU
Are We Forgetting about Compositional Optimisers in Bayesian Optimisation? | OpenReview
forgettingcompositionalbayesianoptimisationopenreview
https://ijpttjournal.org/archives/ijptt-v15p402
Modeling and Simulation of GSM/GPRS Network Derived Error-log Messages Summary Using Bayesian...
One of the most important requirements to be addressed by a general purpose Fault Management (FM) system is the ability to quickly identify the root cause of...
modeling and simulation
https://virtual.aistats.org/virtual/2026/poster/13564
AISTATS Poster Provable Accelerated Bayesian Optimization with Knowledge Transfer
bayesian optimizationaistatsposterprovableaccelerated
https://mathematik.univie.ac.at/eventsnews/nachrichtenvolldarstellung/news/langevin-monte-carlo-methods-for-bayesian-inference/?no_cache=1&cHash=8428dbc2573a9e92def8248b2bc9fa8a
Langevin Monte Carlo methods for Bayesian inference
Peter Whalley (ETH Zurich)
monte carlo methodsbayesianinference
https://libbi.org/
LibBi (library for Bayesian inference)
librarybayesianinference
https://rdrr.io/bioc/mfa/man/map_branch.html
map_branch: Find the MAP branch and uncertainty in mfa: Bayesian hierarchical mixture of factor...
Find the MAP branch and uncertainty
https://openreview.net/forum?id=D9_PKXerWXZQ&referrer=%5Bthe%20profile%20of%20Soroosh%20Shafiee%5D(%2Fprofile%3Fid%3D~Soroosh_Shafiee1)
Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust...
We introduce a distributionally robust minimium mean square error estimation model with a Wasserstein ambiguity set to recover an unknown signal from a noisy...
https://papers.nips.cc/paper_files/paper/2018/hash/86b20716fbd5b253d27cec43127089bc-Abstract.html
Bayesian Distributed Stochastic Gradient Descent
bayesiandistributedstochasticgradientdescent
https://research.ucc.ie/en/publications/bho-ma-bayesian-hyperparameter-optimization-with-multi-objective/
BHO-MA: Bayesian Hyperparameter Optimization with Multi-objective Acquisition - Discover Research...
hyperparameter optimizationbhobayesian
https://search.r-project.org/CRAN/refmans/BATSS/html/00Index.html
R: Bayesian Adaptive Trial Simulator Software (BATSS) for Generalised Linear Models
rbayesianadaptive
https://www.mskcc.org/departments/epidemiology-biostatistics/biostatistics/hybrid-bayesian-laplacian-approach
Biostatistics: Hybrid Bayesian Laplacian Approach | Memorial Sloan Kettering Cancer Center
View the Biostatistics page for Hybrid Bayesian Laplacian Approach.
memorial sloan ketteringbiostatisticshybridbayesianlaplacian
https://papers.neurips.cc/paper_files/paper/2020/hash/2adee8815dd939548ee6b2772524b6f2-Abstract.html
Sequential Bayesian Experimental Design with Variable Cost Structure
experimental designvariable costsequentialbayesianstructure
https://bayesmap.com/about-us/methods/
At BayesMap we use Bayesian inference for mapping
Our methods use Bayesian inference, probabilistic modeling, image/signal processing and optimization, enabling error propagation and uncertainty prediction.
we usebayesian inferencemapping
https://iris.unibocconi.it/handle/11565/4022999
Cross-asset contagion in the financial crisis: a Bayesian time-varying parameter approach
the financial crisis
https://boa.unimib.it/handle/10281/503566
Learning Bayesian Networks: A Copula Approach for Mixed-Type Data
bayesian networkslearningcopulaapproachmixed
https://www2.isye.gatech.edu/~jsokol/lrmc/TEAMS/2026/George_Mason.lrmc.sort4.php
LRMC | LRMC (Bayesian) results through games of 3/15/2026
bayesianresultsgames
https://researchers.mq.edu.au/en/publications/marine-transportation-risk-assessment-using-bayesian-network-appl/
Marine transportation risk assessment using Bayesian Network: application to Arctic waters -...
marine transportationrisk assessmentbayesian networkusing
https://glizen.com/radfordneal/bmm.abstract.html
Abstract for ``Bayesian Mixture Modeling by Monte Carlo Simulation''
monte carloabstractbayesianmixturemodeling
https://scholar.usuhs.edu/en/publications/probabilistic-bayesian-modeling-of-gene-expression-in-transplant-/
Probabilistic (Bayesian) modeling of gene expression in transplant glomerulopathy - Uniformed...
bayesian modelinggene expressionprobabilistictransplantuniformed
https://baysm2026.github.io/
BAYSM 2026 - The Bayesian Young Statisticians Meeting
The Bayesian Young Statisticians Meeting
bayesianyoungstatisticiansmeeting
https://julesandjames.blogspot.com/2012/02/another-climate-sensitivity-estimate.html?showComment=1330220761543
James' Empty Blog: A(nother) climate sensitivity estimate using Bayesian fusion of instrumental...
The mode of the climate sensitivity estimate is 2.8C, with the corresponding 95% credible interval ranging from 1.8 to 4.9C. Note that this ...
https://researchwith.stevens.edu/en/publications/agent-identification-using-a-sparse-bayesian-model/
Agent identification using a sparse Bayesian model - Stevens Institute of Technology
agent identificationstevens instituteusingsparse
https://doingbayesiandataanalysis.blogspot.com/
Doing Bayesian Data Analysis
bayesiandataanalysis
https://experts.colorado.edu/display/pubid_369593
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming | CU Experts |...
https://academictorrents.com/details/3cc32b00695bb7bb972bbcdf8e75fb666463db86/collections
Sub-Local Constraint-Based Learning of Bayesian Networks Using A Joint Dependence Criterion -...
Sub-Local Constraint-Based Learning of Bayesian Networks Using A Joint Dependence Criterion, Info Hash: 3cc32b00695bb7bb972bbcdf8e75fb666463db86
https://bookauthority.org/books/new-bayesian-networks-audiobooks
6 New Bayesian Networks Books Defining 2025 - BookAuthority
Explore 6 new Bayesian Networks books by Yousri El Fattah, Narasi Sridhar, and others offering fresh 2025 insights for AI and machine learning professionals.
bayesian networksnewbooksdefining
https://open.hpi.de/courses/bayesian-statistics2023/items/4cUONFDLyuQwDUQEiMN6Xp?locale=en
General course information: Introduction to Bayesian Data Analysis |
general course informationintroductionbayesiandataanalysis
https://liner.com/review/constrained-bayesian-reinforcement-learning-via-approximate-linear-programming
Constrained Bayesian Reinforcement Learning via Approximate Linear Programming [Quick Review]
Regarding this IJCAI 2017 paper, this review summarizes a model-based BRL algorithm for CMDPs using approximate linear programming.
reinforcement learninglinear programmingconstrainedbayesianvia
https://www.johnacademy.co.uk/course/basics-of-bayesian-statistics/
Online Basics of Bayesian Statistics Course
Sep 24, 2024 - Develop a solid foundation in Bayesian statistics from your home with our Basics of Bayesian Statistics course. 100% Online and Self-paced. Join now!
bayesian statisticsonlinebasicscourse
https://www.zew.de/en/publications/a-bayesian-approach-to-determine-the-impact-of-institutions-on-the-unemployment-rate
Publication: A Bayesian Approach to Determine the Impact of Institutions on the Unemployment Rate |...
Large differences in the unemployment rates of industrialized countries and the underlying causes of unemployment have been subject of recurring discussion for...
https://egusphere.copernicus.org/preprints/2026/egusphere-2025-6249/
EGUsphere - Towards the Bayesian calibration of a glacier surface energy balance model for...
Abstract. Building on Bayesian calibration techniques and leveraging high-resolution climate simulations, we test the current capabilities of calibrating a...
https://kar.kent.ac.uk/71007/
Protein Secondary Structure Prediction using an Optimised Bayesian Classification Neural Network -...
protein secondary structurepredictionusing
https://infosci.arizona.edu/course/ista-410510-bayesian-modeling-and-inference
ISTA 410/510: Bayesian Modeling and Inference | College of Information Science
college of informationbayesian modelingista
https://magritek.com/2025/06/13/automated-optimization-of-a-flow-reactor-by-using-bayesian-algorithms-and-inline-nmr-monitoring/
Automated optimization of a flow reactor by using Bayesian algorithms and Inline NMR Monitoring -...
Dec 17, 2025 - Introduction Recent advances in laboratory automation and analytical instrumentation have opened new possibilities for accelerating reaction development,...
https://aaltodoc.aalto.fi/items/fc38b0c6-e69c-4a4a-a9fe-43706e2342f1/full
Workload-aware materialization for efficient variable elimination on Bayesian networks
Bayesian networks are general, well-studied probabilistic models that capture dependencies among a set of variables. Variable Elimination is a fundamental...
workloadawarematerializationefficientvariable
https://www2.isye.gatech.edu/~jsokol/lrmc/TEAMS/2023/Fordham.lrmc.sort0.php
LRMC | LRMC (Bayesian) results through games of 3/12/2023
bayesianresultsgames
https://arts.units.it/handle/11368/2938499
Bayesian Analysis of Cosmic Ray Propagation: Evidence against Homogeneous Diffusion
bayesian analysiscosmic raypropagationevidencediffusion
https://avesis.ogu.edu.tr/yayin/c0d77ee1-ce1d-4306-a179-ca8dd7d94b3e/rapid-discovery-of-graphene-nanoflakes-with-desired-absorption-spectra-using-dft-and-bayesian-optimization-with-neural-network-kernel
Rapid Discovery of Graphene Nanoflakes with Desired Absorption Spectra Using DFT and Bayesian...
https://www.kochava.com/glossary/bayesian-modeling/
Bayesian Modeling
Mar 13, 2026 - Bayesian modeling represents a statistical framework that combines prior knowledge with observed data to generate probability distributions over model
bayesianmodeling
https://openresearch.surrey.ac.uk/esploro/outputs/journalArticle/Bayesian-bootstrap-aggregation-for-tourism-demand/99556423702346
Bayesian bootstrap aggregation for tourism demand forecasting - University of Surrey
Limited historical data are the primary cause of the failure of tourism forecasts. Bayesian bootstrap aggregation (BBagging) may offer a solution to this...
for tourismdemand forecastinguniversity ofbayesianbootstrap
https://doingbayesiandataanalysis.blogspot.com/2022/10/
Doing Bayesian Data Analysis: October 2022
bayesian data analysisoctober
https://kar.kent.ac.uk/17608/
Bayesian wavelength selection in multicomponent analysis - Kent Academic Repository
multicomponent analysisbayesianwavelengthselectionkent
https://data.mendeley.com/datasets/ncxfg4pwfg/1
Data for: Nonparametric Bayesian-based recognition of solar irradiance conditions: Application to...
Supplementary materials for "Nonparametric Bayesian-based recognition of solar irradiance conditions: Application to the generation of high temporal resolution...
https://repositum.tuwien.at/handle/20.500.12708/141495
reposiTUm: Bayesian inversion for nanowire field-effect sensors
field effectbayesianinversionsensors
https://phys.washington.edu/events/2026-04-27/26-1-program-virtue-doubt-bayesian-uq-ab-initio-nuclear-theory
26 1 Program The Virtue of Doubt Bayesian UQ in Ab Initio Nuclear Theory | Department of Physics |...
This talk is featured as part of INT Program 26-1, "Nuclear Hamiltonians for Advancing Nuclear Physics and Beyond".The speaker will give this talk in-person in...
https://test.biii.eu/bayesian-tracker-btrack
Bayesian Tracker (btrack) | BIII
bayesiantracker