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1Doing Bayesian Data Analysis
https://sites.google.com/site/doingbayesiandataanalysis/home
4 months ago by @topel
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1Bayesian linear regression for practitioners • Max Halford
https://maxhalford.github.io/blog/bayesian-linear-regression/
6 months ago by @becker
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bayesian
linear
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explained
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1Bayesian Linear Regression
https://gregorygundersen.com/blog/2020/02/04/bayesian-linear-regression/
a year ago by @becker
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linear
regression
background
knowledge
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bayesianlinearregressionbackgroundknowledgeintegrationbayes
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2GitHub - cornellius-gp/gpytorch: A highly efficient and modular implementation of Gaussian Processes in PyTorch
https://github.com/cornellius-gp/gpytorch
2 years ago by @becker
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bayesian
gaussian
gpu
inference
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processes
python
pytorch
torch
bayesiangaussiangpuinferencelearningprocessprocessespythonpytorchtorch
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1GitHub - huawei-noah/HEBO: Bayesian optimisation library developped by Huawei Noah's Ark Library
https://github.com/huawei-noah/HEBO
2 years ago by @becker
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hebo
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1Toward optimal probabilistic active learning using a Bayesian approach | SpringerLink
Gathering labeled data to train well-performing machine learning models is one of the critical challenges in many applications. Active learning aims at red
3 years ago by @analyst
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2021
bayesian
machine-learning
springer
2021bayesianmachine-learningspringer
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1Bayesian_Workflow.pdf
https://dpsimpson.github.io/pages/talks/Bayesian_Workflow.pdf
4 years ago by @becker
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gelman
workflow
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gelmanworkflowbayesbayesian
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1Bayesian Data Analysis course
https://avehtari.github.io/BDA_course_Aalto/
4 years ago by @topel
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1Laplace's Demon: A Seminar Series about Bayesian Machine Learning at Scale - Criteo AI Lab
https://ailab.criteo.com/laplaces-demon-bayesian-machine-learning-at-scale/
4 years ago by @becker
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1Porn web page detector - Summary [Savannah]
http://savannah.nongnu.org/projects/pornfind/
4 years ago by @selm
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Lesezeichen-Symbolleiste
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eL3€7
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bayesian
Lesezeichen-SymbolleistepubliceL3€7daemonsnetworkfilteringspambayesian
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2Bogofilter Home Page
http://bogofilter.sourceforge.net/
4 years ago by @selm
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Lesezeichen-Symbolleiste
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eL3€7
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1(7) David Robinson auf Twitter: "Let's do this ONE LIKE = ONE INSULT OF A DISTRIBUTION" / Twitter
https://twitter.com/drob/status/1286042301727416320
4 years ago by @becker
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distributiontwitterinsultinsultsbayesbayesianhumorfun
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1WS 18/19 | Informatik 2
Probabilistic Programming Course
4 years ago by @kirk86
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1Bayesian regression predictions - Tutorials - Pyro Discussion Forum
https://forum.pyro.ai/t/bayesian-regression-predictions/1115/8
4 years ago by @becker
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bayespyrobayesianregressionsampleprediction
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1Remove dependency on TracePosterior and deprecate utilities in AbstractInfer · Issue #1930 · pyro-ppl/pyro
https://github.com/pyro-ppl/pyro/issues/1930
4 years ago by @becker
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1Financial forecasting with probabilistic programming and Pyro
https://medium.com/@alexrachnog/financial-forecasting-with-probabilistic-programming-and-pyro-db68ab1a1dba
4 years ago by @becker
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3A Zero-Math Introduction to Markov Chain Monte Carlo Methods
Intro to Markov Chain Monte Carlo methods
4 years ago by @geistgesicht
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bayesian
monte-carlo
statistics
bayesianmonte-carlostatistics
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1BDA course : Panopto
https://aalto.cloud.panopto.eu/Panopto/Pages/Sessions/List.aspx#folderID=%22f0ec3a25-9e23-4935-873b-a9f401646812%22
4 years ago by @bshanks
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1Regression and Other Stories: Index
https://avehtari.github.io/ROS-Examples/
4 years ago by @bshanks
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1rmcelreath/statrethinking_winter2019: Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
https://github.com/rmcelreath/statrethinking_winter2019
4 years ago by @bshanks
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2Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
P. Green. Biometrika, 82 (4): 711-732 (1995)
13 years ago by @peter.ralph
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Bayesian
MCMC
model_selection
statistics
BayesianMCMCmodel_selectionstatistics
(0)
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5The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
D. Blei, T. Griffiths, and M. Jordan. J. ACM, (2010)
13 years ago by @ytyoun
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bayesian
chinese_restaurant_process
nonparametric_inference
bayesianchinese_restaurant_processnonparametric_inference
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4Bayesian random local clocks, or one rate to rule them all
A. Drummond, and M. Suchard. BMC biology, 8 (1): 114 (2010)
13 years ago by @alexei.drummond
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bayesian
myown
bayesianmyown
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1A regional Bayesian POT model for flood frequency analysis
M. Ribatet, E. Sauquet, J. Grésillon, and T. Ouarda. Stochastic Environmental Research and Risk Assessment, (2007)
13 years ago by @marsianus
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Bayesian
POT
regional
BayesianPOTregional
(0)
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1Statistical analysis of extreme events in a non-stationary context via a Bayesian framework: case study with peak-over-threshold data
B. Renard, M. Lang, and P. Bois. Stochastic Environmental Research and Risk Assessment, (2006)
13 years ago by @marsianus
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Bayesian
Extremes
MCMC
Nonstationarity
POT
BayesianExtremesMCMCNonstationarityPOT
(0)
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2Practical issues in constructing a Bayes belief network.
M. Henrion. Int. J. Approx. Reasoning, 2 (3): 337 (1988)
13 years ago by @lemmi
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NoisyOr
bayesian
unexpectedPattern
NoisyOrbayesianunexpectedPattern
(0)
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4Scalable pattern mining with Bayesian networks as background knowledge
S. Jaroszewicz, T. Scheffer, and D. Simovici. Data Min. Knowl. Discov., 18 (1): 56-100 (2009)
13 years ago by @lemmi
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bayesian
unexpectedPattern
bayesianunexpectedPattern
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2Learning Bayesian network parameters from small data sets: application of Noisy-OR gates.
A. Onisko, M. Druzdzel, and H. Wasyluk. Int. J. Approx. Reasoning, 27 (2): 165-182 (2001)
13 years ago by @lemmi
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bayesian
unexpectedPattern
bayesianunexpectedPattern
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1Asymptotic models and inference for extremes of spatio-temporal data
K. Turkman, M. Turkman, and J. Pereira. Extremes, (2010)
13 years ago by @marsianus
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Bayesian
Extremes
Extremes:spatial
maxstable
BayesianExtremesExtremes:spatialmaxstable
(0)
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1Application of the Bayesian approach in regional analysis of extreme rainfalls
H. Madsen, D. Rosbjerg, and P. Harremoöes. Stochastic Hydrology and Hydraulics, (1995)
13 years ago by @marsianus
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Bayesian
POT
precipitation
BayesianPOTprecipitation
(0)
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1Spatial modeling of annual minimum and maximum temperatures in Iceland
B. Hrafnkelsson, J. Morris, and V. Baladandayuthapani. Meteorology and Atmospheric Physics, (2010)
14 years ago by @marsianus
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Bayesian
Extremes
Extremes:spatial
Gaussian
temperature
BayesianExtremesExtremes:spatialGaussiantemperature
(0)
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1Generalized least squares and empirical bayes estimation in regional partial duration series index-flood modeling
H. Madsen, and D. Rosbjerg. Water Resour. Res., 33 (4): 771--781 (1997)
14 years ago by @marsianus
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Bayesian
POT
indexflood
BayesianPOTindexflood
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1Future change of precipitation extremes in Europe: Intercomparison of scenarios from regional climate models
C. Frei, R. Schoell, S. Fukutome, J. Schmidli, and P. Vidale. Journal of Geophysical Research, 111 (D6): D06105 (March 2006)
14 years ago by @marsianus
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Alps
BMAX
Bayesian
Bootstrap
ClimateChange
ClimateChange:Regional
Data
Data:PRUDENCE
Europe
Extremeevents
GCM
GCM:HADAM
GEV
Hydrology
Likelihood
Meteorology
Meteorology:ClausiusClapeyron
Meteorology:radiativeprocesses
Meteorology:wetday
RCM
Region
SRES
STARDEX
Watercycles
circulation
convection
precipitation
problem:drybias
scenario
smallsampleproperties
AlpsBMAXBayesianBootstrapClimateChangeClimateChange:RegionalDataData:PRUDENCEEuropeExtremeeventsGCMGCM:HADAMGEVHydrologyLikelihoodMeteorologyMeteorology:ClausiusClapeyronMeteorology:radiativeprocessesMeteorology:wetdayRCMRegionSRESSTARDEXWatercyclescirculationconvectionprecipitationproblem:drybiasscenariosmallsampleproperties
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1Generalized maximum-likelihood generalized extreme-value quantile estimators for hydrologic data
E. Martins, and J. Stedinger. Water Resour. Res., 36 (3): 737--744 (2000)
14 years ago by @marsianus
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Bayesian
FisherInformation
GEV
GML
HoskingsAlgorithm
LMoments
Likelihood
MOM
NewtonRaphson
PWeightedMoments
PriorGeophysical
Simulation
Simulation:MonteCarlo
asymptotic:efficiency
asymptotic:normality
censoreddata
computation
historicaldata
prior
scoring
smallsampleproperties
stationary
BayesianFisherInformationGEVGMLHoskingsAlgorithmLMomentsLikelihoodMOMNewtonRaphsonPWeightedMomentsPriorGeophysicalSimulationSimulation:MonteCarloasymptotic:efficiencyasymptotic:normalitycensoreddatacomputationhistoricaldatapriorscoringsmallsamplepropertiesstationary
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1Words as alleles: connecting language evolution with Bayesian learners to models of genetic drift
F. Reali, and T. Griffiths. Proceedings of the Royal Society B: Biological Sciences, 277 (1680): 429--436 (Feb 7, 2010)
14 years ago by @smatthiesen
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bayesian
geneticdrift
language_evolution
bayesiangeneticdriftlanguage_evolution
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2Bayesian Inference for Localization in Cellular Networks
H. Zang, F. Baccelli, and J. Bolot. INFOCOM, page 1963-1971. (2010)
14 years ago by @cscholz
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bayesian
localization
bayesianlocalization
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4Relational Bayesian Networks
M. Jaeger. Proceedings of the 13th Annual Conference on Uncertainty in AI (UAI), page 266--273. Morgan Kaufmann, (1997)
14 years ago by @djain
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Bayesian
KR
SRL
BayesianKRSRL
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2Complex Probabilistic Modeling with Recursive Relational Bayesian Networks
M. Jaeger. Annals of Mathematics and Artificial Intelligence, 32 (1-4): 179--220 (2001)
14 years ago by @djain
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Bayesian
KR
SRL
BayesianKRSRL
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6MEBN: A Language for First-Order Bayesian Knowledge Bases
K. Laskey. Artif. Intell., 172 (2-3): 140--178 (2008)
14 years ago by @djain
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Bayesian
KR
SRL
BayesianKRSRL
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1Bayesian Logic Programming: Theory and Tool
K. Kersting, and L. Raedt. chapter 10, MIT Press, (2007)
14 years ago by @djain
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Bayesian
KR
SRL
BayesianKRSRL
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