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assignments/bayes_2024.bib

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@@ -9,7 +9,7 @@ @article{Goldstein1980
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publisher={Oxford University Press}
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}
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@article{Dawid1982,
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title={The well-calibrated Bayesian},
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title={The well-calibrated {B}ayesian},
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author={Dawid, A Philip},
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journal={Journal of the American Statistical Association},
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volume={77},
@@ -29,7 +29,7 @@ @article{OHagan1995
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publisher={Wiley Online Library}
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}
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@article{West1985,
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title={Dynamic generalized linear models and Bayesian forecasting},
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title={Dynamic generalized linear models and {B}ayesian forecasting},
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author={West, Mike and Harrison, P Jeff and Migon, Helio S},
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journal={Journal of the American Statistical Association},
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volume={80},
@@ -39,7 +39,7 @@ @article{West1985
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publisher={Taylor \& Francis}
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}
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@article{Besag1991,
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title={Bayesian image restoration, with two applications in spatial statistics},
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title={{B}ayesian image restoration, with two applications in spatial statistics},
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author={Besag, Julian and York, Jeremy and Molli{\'e}, Annie},
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journal={Annals of the institute of statistical mathematics},
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volume={43},
@@ -66,7 +66,7 @@ @article{Tierney1998
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publisher={JSTOR}
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}
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@article{Kennedy2001,
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title={Bayesian calibration of computer models},
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title={{B}ayesian calibration of computer models},
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author={Kennedy, Marc C and O'Hagan, Anthony},
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journal={Journal of the Royal Statistical Society: Series B (Statistical Methodology)},
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volume={63},
@@ -101,7 +101,7 @@ @article{Gelman2008
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number = {4},
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publisher = {Institute of Mathematical Statistics},
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pages = {1360 -- 1383},
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keywords = {Bayesian inference, generalized linear model, hierarchical model, least squares, Linear regression, logistic regression, multilevel model, noninformative prior distribution, weakly informative prior distribution},
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keywords = {{B}ayesian inference, generalized linear model, hierarchical model, least squares, Linear regression, logistic regression, multilevel model, noninformative prior distribution, weakly informative prior distribution},
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year = {2008},
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doi = {10.1214/08-AOAS191},
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URL = {https://doi.org/10.1214/08-AOAS191}
@@ -124,7 +124,7 @@ @article{Piironen2017
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number = {2},
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publisher = {Institute of Mathematical Statistics and Bernoulli Society},
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pages = {5018 -- 5051},
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keywords = {Bayesian inference, horseshoe prior, shrinkage priors, Sparse estimation},
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keywords = {{B}ayesian inference, horseshoe prior, shrinkage priors, Sparse estimation},
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year = {2017},
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doi = {10.1214/17-EJS1337SI},
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URL = {https://doi.org/10.1214/17-EJS1337SI}
@@ -137,15 +137,15 @@ @article{Simpson2017
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number = {1},
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publisher = {Institute of Mathematical Statistics},
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pages = {1 -- 28},
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keywords = {Bayesian theory, disease mapping, hierarchical models, information geometry, interpretable prior distributions, prior on correlation matrices},
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keywords = {{B}ayesian theory, disease mapping, hierarchical models, information geometry, interpretable prior distributions, prior on correlation matrices},
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year = {2017},
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doi = {10.1214/16-STS576},
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URL = {https://doi.org/10.1214/16-STS576}
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}
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@article{Bai2021,
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title={Spike-and-slab meets LASSO: A review of the spike-and-slab LASSO},
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title={Spike-and-slab meets {LASSO}: A review of the spike-and-slab {LASSO} },
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author={Bai, Ray and Ro{\v{c}}kov{\'a}, Veronika and George, Edward I},
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journal={Handbook of Bayesian variable selection},
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journal={Handbook of {B}ayesian variable selection},
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pages={81--108},
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year={2021},
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publisher={Chapman and Hall/CRC}

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