From 402f4e69181bebcc2ebdbd310df76db73653bf9f Mon Sep 17 00:00:00 2001 From: Ben Bolker Date: Mon, 13 May 2024 11:17:15 -0400 Subject: [PATCH] update glmm bib --- glmmbib.html | 255 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 255 insertions(+) diff --git a/glmmbib.html b/glmmbib.html index 4a510ce..b71ec57 100644 --- a/glmmbib.html +++ b/glmmbib.html @@ -46,6 +46,17 @@ 2008. (doi:10.1016/j.csda.2008.02.033) + +
[Anderson et al., + 2022]
Sean C. Anderson, Eric J. + Ward, Philina A. English, Lewis A. K. Barnett, + and James T. Thorson. +sdmTMB: An R package for fast, flexible, and user-friendly generalized + linear mixed effects models with spatial and spatiotemporal random fields, + March 2022. +(doi:10.1101/2022.03.24.485545)
+
[Angrist and Pischke, 2009]
Joshua D. Angrist and @@ -169,6 +180,17 @@ Statistics and Computing, 21(2):173–183, April 2011. (doi:10.1007/s11222-009-9157-4)
+ + +
[Bellio et al., + 2023]
Ruggero Bellio, Swarnadip + Ghosh, Art B. Owen, and Cristiano Varin. +Scalable Estimation of Probit + Models with Crossed Random Effects, August 2023. +arXiv:2308.15681 [stat]. +(doi:10.48550/arXiv.2308.15681)
+
[Belshe et al., @@ -293,6 +315,25 @@ loglinear mixed models. Statistical Modelling, 3(3):179–191, 2003. + +
[Breiman, + 2001]
Leo Breiman. +Statistical Modeling: The + Two Cultures. +Statistical Science, 16(3):199–215, August 2001. +There are two cultures in the use of statistical modeling to reach conclusions + from data. One assumes that the data are generated by a given stochastic data + model. The other uses algorithmic models and treats the data mechanism as + unknown. The statistical community has been committed to the almost exclusive + use of data models. This commitment has led to irrelevant theory, + questionable conclusions, and has kept statisticians from working on a large + range of interesting current problems. Algorithmic modeling, both in theory + and practice, has developed rapidly in fields outside statistics. It can be + used both on large complex data sets and as a more accurate and informative + alternative to data modeling on smaller data sets. If our goal as a field is + to use data to solve problems, then we need to move away from exclusive + dependence on data models and adopt a more diverse set of tools.
+
[Breslow, 1984]
N. E. Breslow. @@ -308,6 +349,21 @@ Proceedings of the second Seattle symposium in biostatistics: Analysis of correlated data, pages 1–22. Springer, 2004.
+ + +
[Bridge + et al.]
Helen Bridge, Katy E. + Morgan, and Chris Frost. +Negative + variance components and intercept-slope correlations greater than one in + magnitude: How do such “non-regular” random intercept and slope models + arise, and what should be done when they do?. +Statistics in Medicine, n/a(n/a). +_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.10070. +(doi:10.1002/sim.10070)
+ @@ -367,6 +423,25 @@ Computational and statistical issues with uniform interval priors, November 2017. + +
[Carvalho et al., + 2009]
Carlos M. Carvalho, + Nicholas G. Polson, and James G. Scott. +Handling Sparsity + via the Horseshoe. +In Proceedings of the Twelth International Conference on + Artificial Intelligence and Statistics, pages 73–80. PMLR, + April 2009. +ISSN: 1938-7228.
+ + +
[Chambers and Hastie, + 1992]
John M. Chambers and Trevor J. + Hastie. +Statistical Models. +In Statistical Models in S. Routledge, 1992. +Num Pages: 32.
+ + +
[Efron, 1986]
B. Efron. +Why + isn't everyone a Bayesian?. +The American Statistician, 40(1):1–5, February 1986. +Publisher: Taylor & Francis _eprint: + https://www.tandfonline.com/doi/pdf/10.1080/00031305.1986.10475342. +(doi:10.1080/00031305.1986.10475342)
+
[Elston et al., @@ -620,6 +706,18 @@ Statistics & Probability Letters, 76(8):764–772, April 2006. (doi:10.1016/j.spl.2005.10.036) + + +
[Freitas et al., + 2016]
Carla Freitas, Esben M. + Olsen, Halvor Knutsen, Jon Albretsen, and + Even Moland. +Temperature-associated habitat selection in a cold-water marine fish. +Journal of Animal Ecology, 85(3):628–637, 2016. +(doi:10.1111/1365-2656.12458)
+
[Friendly and Kwan, 2003]
Michael Friendly and Ernest @@ -630,6 +728,34 @@ 2003. (doi:10.1016/S0167-9473(02)00290-6)
+ + +
[Gao and Owen, + 2017]
K. Gao and A. B. Owen. +Estimation and Inference for Very + Large Linear Mixed Effects Models. +arXiv:1610.08088 [stat], May 2017. +arXiv: 1610.08088.
+ + + +
[Gao and Owen, + 2017]
Katelyn Gao and Art Owen. +Efficient moment + calculations for variance components in large unbalanced crossed random + effects models. +Electronic Journal of Statistics, 11(1):1235–1296, 2017. +(doi:10.1214/17-EJS1236)
+ + +
[Gao and Owen, + 2020]
Katelyn Gao and Art B. Owen. +Estimation and Inference for + Very Large Linear Mixed Effects Models. +Statistica Sinica, 30(4):1741–1771, 2020. +Publisher: Institute of Statistical Science, Academia Sinica.
+
[Gelman and Hill, @@ -703,6 +829,49 @@ Statistics in Medicine, 27(15):2865–2873, July 2008. (doi:10.1002/sim.3107) + +
[Gelman, + 2008]
Andrew Gelman. +Objections + to Bayesian statistics. +Bayesian Analysis, 3:445–450, 2008. +(doi:10.1214/08-BA318)
+ + + +
[Ghandwani et al., + 2023]
Disha Ghandwani, Swarnadip + Ghosh, Trevor Hastie, and Art B. Owen. +Scalable solution to crossed random + effects model with random slopes, September 2023. +arXiv:2307.12378 [stat]. +(doi:10.48550/arXiv.2307.12378)
+ + + +
[Ghosh et al., + 2022]
Swarnadip Ghosh, Trevor + Hastie, and Art B. Owen. +Scalable + logistic regression with crossed random effects. +Electronic Journal of Statistics, 16(2):4604–4635, January 2022. +Publisher: Institute of Mathematical Statistics and Bernoulli Society. +(doi:10.1214/22-EJS2047)
+ + + +
[Ghosh et al., + 2022]
Swarnadip Ghosh, Trevor + Hastie, and Art B. Owen. +Backfitting + for large scale crossed random effects regressions. +The Annals of Statistics, 50(1):560–583, February 2022. +Publisher: Institute of Mathematical Statistics. +(doi:10.1214/21-AOS2121)
+
[Goldman and Whelan, 2000]
Nick Goldman and Simon @@ -759,6 +928,14 @@ Problems in Inference for Additive and Linear Mixed Models. Cuvillier Verlag, Göttingen, Germany, 2008.
+ +
[Griewank and Walther, + 2003]
Andreas Griewank and Andrea + Walther. +Introduction to Automatic Differentiation. +Proc. Appl. Math. Mech, 2(1):45–49, 2003. +(doi:10.1002/pamm.200310012)
+
[Hadfield, 2010]
Jarrod D. Hadfield. @@ -813,6 +990,15 @@ Models, 2018. R package version 0.2.0.
+ +
[He et al., 2019]
Hua He, + Hui Zhang, Peng Ye, and Wan + Tang. +A test of inflated zeros for Poisson regression models. +Statistical methods in medical research, 28(4):1157–1169, April + 2019. +(doi:10.1177/0962280217749991)
+ +
[Heiling et al., + 2024]
Hillary M Heiling, Naim U + Rashid, Quefeng Li, Xianlu L Peng, + Jen Jen Yeh, and Joseph G Ibrahim. +Efficient computation of + high-dimensional penalized generalized linear mixed models by latent factor + modeling of the random effects. +Biometrics, 80(1):ujae016, March 2024. +(doi:10.1093/biomtc/ujae016)
+ + + +
[Heiling et al., + 2024]
Hillary M. Heiling, Naim U. + Rashid, Quefeng Li, and Joseph G. Ibrahim. +glmmPen: High Dimensional + Penalized Generalized Linear Mixed Models, April 2024. +arXiv:2305.08204 [stat]. +(doi:10.48550/arXiv.2305.08204)
+
[Heisterkamp et al., @@ -1243,6 +1452,14 @@ ecology. Ecology, 95(11):3173–3180, 2014. + +
[Madar, 2015]
Vered + Madar. +Direct formulation to Cholesky decomposition of a general nonsingular + correlation matrix. +Statistics & Probability Letters, 103:142–147, August 2015. +(doi:10.1016/j.spl.2015.03.014)
+ @@ -1366,6 +1583,18 @@ The American Statistician, 61(1):22–27, 2007. (doi:10.1198/000313007X171322) + + +
[Moritz et al., + 2023]
Max A. Moritz, Enric + Batllori, and Benjamin M. Bolker. +The role of + fire in terrestrial vertebrate richness patterns. +Ecology Letters, 26(4):563–574, 2023. +_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/ele.14177. +(doi:10.1111/ele.14177)
+ + +
[Tanaka and Hui, + 2019]
Emi Tanaka and Francis K. C. + Hui. +Symbolic Formulae for Linear Mixed Models. +In Hien Nguyen, editor, Statistics and Data + Science, Communications in Computer and Information Science, + pages 3–21, Singapore, 2019. Springer. +(doi:10.1007/978-981-15-1960-4_1)
+
[Tiwari et al., @@ -1906,6 +2147,13 @@ mydas hatchling production at Tortuguero, Costa Rica. Marine Ecology Progress Series, 326:283–293, 2006. + +
[Uriarte and Yackulic, + 2009]
Maria Uriarte and Charles B + Yackulic. +Preaching to the unconverted. +Ecological Applications, 19(3):592–596, 2009.
+
[Vaida and Blanchard, 2005]
Florin Vaida and Suzette @@ -2018,6 +2266,13 @@ data analysis. Springer New York, 2009.
+ +
[Wicklin, 2018]
Rick + Wicklin. +Fast + simulation of multivariate normal data with an AR(1) correlation + structure, October 2018.
+
[Wilkinson and Rogers, 1973]
G. N. Wilkinson and C. E.