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‎assignments/bayes_2024.bib‎

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@article{Goldstein1980,
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title={The linear Bayes regression estimator under weak prior assumptions},
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author={Goldstein, Michael},
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journal={Biometrika},
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volume={67},
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number={3},
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pages={621--628},
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year={1980},
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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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author={Dawid, A Philip},
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journal={Journal of the American Statistical Association},
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volume={77},
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number={379},
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pages={605--610},
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year={1982},
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publisher={Taylor \& Francis}
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}
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@article{OHagan1995,
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title={Fractional {B}ayes factors for model comparison},
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author={O'Hagan, Anthony},
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journal={Journal of the Royal Statistical Society: Series B (Methodological)},
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volume={57},
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number={1},
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pages={99--118},
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year={1995},
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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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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},
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number={389},
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pages={73--83},
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year={1985},
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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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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},
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pages={1--20},
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year={1991},
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publisher={Springer}
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}
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@article{OHagan1998,
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title={Eliciting expert beliefs in substantial practical applications},
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author={O'Hagan, Anthony},
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journal={Journal of the Royal Statistical Society Series D: The Statistician},
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volume={47},
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number={1},
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pages={21--35},
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year={1998},
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publisher={Oxford University Press}
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}
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@article{Tierney1998,
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title={A note on {M}etropolis-{H}astings kernels for general state spaces},
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author={Tierney, Luke},
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journal={Annals of applied probability},
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pages={1--9},
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year={1998},
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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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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},
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number={3},
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pages={425--464},
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year={2001},
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publisher={Wiley Online Library}
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}
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@article{Oakley2004,
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title={Probabilistic sensitivity analysis of complex models: a {B}ayesian approach},
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author={Oakley, Jeremy E and O'Hagan, Anthony},
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journal={Journal of the Royal Statistical Society Series B: Statistical Methodology},
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volume={66},
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number={3},
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pages={751--769},
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year={2004},
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publisher={Oxford University Press}
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}
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@article{Papaspiliopoulos2007,
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title={A general framework for the parametrization of hierarchical models},
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author={Papaspiliopoulos, Omiros and Roberts, Gareth O and Sk{\"o}ld, Martin},
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journal={Statistical Science},
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pages={59--73},
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year={2007},
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publisher={JSTOR}
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}
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@article{Gelman2008,
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author = {Andrew Gelman and Aleks Jakulin and Maria Grazia Pittau and Yu-Sung Su},
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title = {{A weakly informative default prior distribution for logistic and other regression models}},
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volume = {2},
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journal = {The Annals of Applied Statistics},
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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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year = {2008},
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doi = {10.1214/08-AOAS191},
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URL = {https://doi.org/10.1214/08-AOAS191}
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}
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@article{Park2008,
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title={The {B}ayesian lasso},
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author={Park, Trevor and Casella, George},
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journal={Journal of the american statistical association},
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volume={103},
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number={482},
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pages={681--686},
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year={2008},
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publisher={Taylor \& Francis}
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}
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@article{Piironen2017,
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author = {Juho Piironen and Aki Vehtari},
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title = {{Sparsity information and regularization in the horseshoe and other shrinkage priors}},
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volume = {11},
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journal = {Electronic Journal of Statistics},
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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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year = {2017},
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doi = {10.1214/17-EJS1337SI},
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URL = {https://doi.org/10.1214/17-EJS1337SI}
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}
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@article{Simpson2017,
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author = {Daniel Simpson and H{\aa}vard Rue and Andrea Riebler and Thiago G. Martins and Sigrunn H. S{\o}rbye},
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title = {{Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors}},
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volume = {32},
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journal = {Statistical Science},
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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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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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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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pages={81--108},
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year={2021},
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publisher={Chapman and Hall/CRC}
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}

‎assignments/discussion_papers.md‎

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- Goldstein, M. (1980). [The linear Bayes regression estimator under weak prior assumptions](https://doi.org/10.1093/biomet/67.3.621). Biometrika, 67(3), 621-628.
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- Dawid, A. P. (1982). [The well-calibrated Bayesian](https://www.tandfonline.com/doi/abs/10.1080/01621459.1982.10477856). Journal of the American Statistical Association, 77(379), 605-610.
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- O'Hagan, A. (1995). [Fractional Bayes factors for model comparison](https://doi.org/10.1111/j.2517-6161.1995.tb02017.x). Journal of the Royal Statistical Society: Series B (Methodological), 57(1), 99-118.
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- West, M., Harrison, P. J., & Migon, H. S. (1985). [Dynamic generalized linear models and Bayesian forecasting](https://www.tandfonline.com/doi/abs/10.1080/01621459.1985.10477131). Journal of the American Statistical Association, 80(389), 73-83.
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- Besag, J., York, J., & Mollié, A. (1991). [Bayesian image restoration, with two applications in spatial statistics](https://link.springer.com/article/10.1007/bf00116466). Annals of the institute of statistical mathematics, 43, 1-20.
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- O'Hagan, A. (1998). [Eliciting expert beliefs in substantial practical applications](https://doi.org/10.1111/1467-9884.00114). Journal of the Royal Statistical Society Series D: The Statistician, 47(1), 21-35.
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- Tierney, L. (1998). [A note on Metropolis-Hastings kernels for general state spaces](https://www.jstor.org/stable/2667233). Annals of applied probability, 1-9.
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- Kennedy, M. C., & O'Hagan, A. (2001). [Bayesian calibration of computer models](https://doi.org/10.1111/1467-9868.00294). Journal of the Royal Statistical Society: Series B (Statistical Methodology), 63(3), 425-464.
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- Oakley, J. E., & O'Hagan, A. (2004). [Probabilistic sensitivity analysis of complex models: a Bayesian approach](https://doi.org/10.1111/j.1467-9868.2004.05304.x). Journal of the Royal Statistical Society Series B: Statistical Methodology, 66(3), 751-769.
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- Papaspiliopoulos, O., Roberts, G. O., & Sköld, M. (2007). [A general framework for the parametrization of hierarchical models](https://www.jstor.org/stable/2764580). Statistical Science, 59-73.
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- Gelman, A., Jakulin, A., Pittau, M. G., & Su, Y. S. (2008). [A weakly informative default prior distribution for logistic and other regression models](https://doi.org/10.1214/08-AOAS191).
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- Park, T., & Casella, G. (2008). [The Bayesian LASSO](https://doi.org/10.1198/016214508000000337). Journal of the American Statistical Association, 103(482), 681-686.
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- Piironen, J., & Vehtari, A. (2017). [Sparsity information and regularization in the horseshoe and other shrinkage priors](https://doi.org/10.1214/17-EJS1337SI). Electronic Journal of Statistics, 11, 5018-5051.
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- Simpson, D., Rue, H., Riebler, A., Martins, T. G., & Sørbye, S. H. (2017). [Penalising model component complexity: A principled, practical approach to constructing priors](https://doi.org/10.1214/16-STS576).
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- Bai, R., Ročková, V., & George, E. I. (2021). [Spike-and-slab meets LASSO: A review of the spike-and-slab LASSO](https://doi.org/10.1201/9781003089018-4). Handbook of Bayesian variable selection, 81-108.

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