### Week 37 ###
Presenter: Jarod Lee
Paper: Fast Moment-Based Estimation for Hierarchical Models
Author(s): Patrick O. Perry
Link: http://arxiv.org/abs/1504.04941
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Presenter: Jarod Lee
Paper: Fast Moment-Based Estimation for Hierarchical Models
Author(s): Patrick O. Perry
Link: http://arxiv.org/abs/1504.04941
Presenter: Minh Ngoc Tran (University of Sydney)
Paper: Block-Wise Pseudo-Marginal Metropolis-Hastings
Author(s): M.-N. Tran, R. Kohn, M. Quiroz, M. Villani
Link: http://arxiv.org/abs/1603.02485
Presenter: Tui Nolan
Paper: Simplicial principal component analysis for density functions
in Bayes spaces
Author(s): K. Hron, A. Menafoglio, M. Templd, K. HrΣzová, P. Filzmoser
Link: http://www.sciencedirect.com/science/article/pii/S0167947315001644 [journal] http://www.idescat.cat/sort/sort342/34.2.4.boogaart-etal.pdf [background]
***CANCELLED***
Presenter: Malay Ghosh (University of Florida)
Paper: Bayesian Multiple Testing Under Sparsity for Polynomial-Tailed Distributions
Author(s): Xueying Tang, Ke Li, Malay Ghosh
Link: http://arxiv.org/pdf/1509.08100v1.pdf
Location: CB04.05.430 (Grid Room)
Presenter: Bin Peng
Paper: Another Look on a Semiparametric Single-Index Model
Author(s): Chaohua Dong, Jiti Gao and Bin Peng
Link: [not yet public - will be distributed via email]
Presenter: Aaron Darling
Paper: Bayesian Phylogenetic Inference using a Combinatorial Sequential Monte Carlo Method
Author(s): Liangliang Wang, Alexandre Bouchard-Côté, Arnaud Doucet
Link: http://www.stats.ox.ac.uk/~doucet/wang_bouchardcote_doucet_BayesianphylogeneticscombinatorialSMC_JASA2015.pdf [preprint] http://amstat.tandfonline.com/doi/abs/10.1080/01621459.2015.1054487 [journal]
Presenter: Heike Hofmann (Iowa State)
Title: Visual Inference - Examples and Discussion
Abstract: How do you know if something you see in a data plot is really there? Visual inference allows us to find an answer to these questions similar to classical statistical hypothesis testing. Visual inference is based on non-parametric inferential methods using human observers to establish the relevance of graphical findings, thereby creating a bridge between classical statistical inference and exploratory data analysis. Based on the seminal paper by Buja et al (2009), I will start with the lineup protocol, give examples where visual inference has allowed us to gain insight beyond classical modeling situations, and go into a discussion of some of the still open questions on visual inference.
Location: CB04.05.430 (Grid Room)
Presenter: Alan Malecki
Paper: Linear Regression Model with Histogram-Valued Variables
Author(s): Sonia Dias and Paula Brito
Link: http://www.dc.uba.ar/events/eci/2015/cursos/papers2.pdf
Presenter: Peter Green
Paper: Spatial capture-recapture models
Author(s): Borchers, D., Fewster, R.
Link: http://www.e-publications.org/ims/submission/STS/user/submissionFile/24061?confirm=738e4d19
Presenter: Scott Sisson (UNSW)
Main Paper: Diagnostic Tools for Approximate Bayesian Computation Using the Coverage Property
Author(s): Prangle, D., Blum, M.G.B., Popovic, G., Sisson, S.A.
Link: http://onlinelibrary.wiley.com/doi/10.1111/anzs.12087/abstract [journal] http://arxiv.org/pdf/1301.3166.pdf [open source preprint]
Background Paper: Validation of Software for Bayesian Models Using Posterior Quantiles
Author(s): Cook, S.R., Gelman, A., Rubin, D.B.
Link: http://www.stat.columbia.edu/~gelman/research/published/Cook_Software_Validation.pdf
Presenter: Craig Anderson
Paper: A Model-Based Approach to Climate Reconstruction Using Tree-Ring Data
Author(s): Matthew R. Schofield, Richard J. Barker, Andrew Gelman, Edward R. Cook and Keith R. Briffa
Link: http://arxiv.org/pdf/1510.02557v1.pdf
Presenter: Chris Oates
Paper: The Rate of Binary Black Hole Mergers Inferred from Advanced LIGO Observations Surrounding GW150914
Author(s): LIGO Scientific Collaboration and Virgo Collaboration
Link: https://dcc.ligo.org/public/0122/P1500217/014/LIGO-P1500217_GW150914_Rates.pdf
Presenter: Louise Ryan
Paper: Growth Charts of Human Development
Author(s): Stef van Buuren
Link: http://www.stefvanbuuren.nl/publications/2014%20Growth%20charts%20for%20development%20-%20SMMR.pdf
Also: An interval scale for development of children aged 0–2 years, Gert Jacobusse, Stef van Buuren, Paul H. Verkerk. http://www.stefvanbuuren.nl/publications/Interval%20scale%20-%20Stat%20Med%202006.pdf
Presenter: Houying (Wendy) Zhu (UNSW)
Paper: Discrepancy bounds for deterministic acceptance-rejection samplers
Author(s): Houying Zhu and Josef Dick
Link: https://projecteuclid.org/euclid.ejs/1400703410 [open access journal]
Presenter: Matt McLean
Paper: Bayesian Clustering of Functional Data Using Local Features
Author(s): Adam Justin Suarez and Subhashis Ghosal
Link: https://projecteuclid.org/euclid.ba/1423083640
Presenter: Hon Hwang et al.
Topic: An informal overview and showcase of deep learning methodologies in machine learning and statistics.
Presenter: Jarod Lee
Paper: Small Area Estimation with Uncertain Random Effects
Author(s): Gauri Sankar Datta, Abhyuday Mandal
Link: https://faculty.franklin.uga.edu/amandal/sites/faculty.franklin.uga.edu.amandal/files/Small_Area_Estimation_with_Uncertain_Random_Effects.pdf
Presenter: Matt Wand
Paper: A Statistical Theory of Deep Learning via Proximal Splitting
Author(s): Nicholas G. Polson, Brandon T. Willard, Massoud Heidari
Link: http://arxiv.org/pdf/1509.06061v1.pdf
Presenter: Simon Byrne (University College London)
Paper: Geodesic Monte Carlo (with discussion)
Author(s): Simon Byrne, Mark Girolami
Link: http://arxiv.org/abs/1301.6064 [paper] http://onlinelibrary.wiley.com/doi/10.1111/sjos.v41.1/issuetoc [discussion]
Presenter: Steve Bush
Paper: Screening strategies in the presence of interactions (with discussion)
Author(s): Draguljic, Danel, Woods, David C., Dean, Angela M., Lewis, Susan M. and Vine, Anna-Jane E.
Link: http://www-old.newton.ac.uk/preprints/NI12002.pdf [open preprint] http://www.tandfonline.com/doi/abs/10.1080/00401706.2013.775900 [paywall]
Presenter: Peter Green
Paper: Proximal Algorithms in Statistics and Machine Learning
Author(s): Nicholas G Polson, James G Scott, and Brandon T Willard
Link: http://www.e-publications.org/ims/submission/STS/user/submissionFile/21790?confirm=49b32f1c
Presenter: Deborah Street
Paper: Latin Hypercubes and Space-filling design; in Handbook of Design and Analysis of Experiment, eds. Angela Dean, Max Morris, John Stufken, Derek Bingham
Author(s): C. Devon Lin and Boxin Tan
Link: NA
Presenter: Stephen Wright
Paper: Nonparametric bayes modeling for case control studies with many predictors
Author(s): Jing Zhou, Amy H. Herring, Anirban Bhattacharya, Andrew F. Olshan, David B. Dunson and The National Birth Defects Prevention Study
Link: http://dx.doi.org/10.1111/biom.12411
Presenter: Andy Kim
Paper: Variational Concensus Monte Carlo
Author(s): Maxim Rabinovich, Elaine Angelino, Michael I. Jordan
Link: http://arxiv.org/abs/1506.03074
Presenter: Louise Ryan
Paper: Identification of important regressor groups, subgroups and individuals via regularization methods: application to gut microbiome data
Author(s): Tanya Garcia, Samuel Muller, Raymond Carroll, Rosemary Walzem
Link: http://bioinformatics.oxfordjournals.org/content/30/6/831.full.pdf
Presenter: Chris Oates
Paper: Frequentist Coverage of Adaptive Nonparametric Bayesian Credible Sets (with discussion)
Author(s): Botond Szabó, Aad van der Vaart, Harry van Zanten
Link: http://arxiv.org/pdf/1310.4489v5.pdf [paper] https://projecteuclid.org/euclid.aos/1434546202 [discussion]
Presenter: Craig Anderson
Paper: A multi-resolution approximation for massive spatial datasets
Author(s): Matthias Katzfuss
Link: http://arxiv.org/pdf/1507.04789v1.pdf
Presenter: Cathy Lee
Paper: Inferring Causal Impact Using Bayesian Structural Time-Series Models
Author(s): Kay H. Brodersen, Fabian Gallusser, Jim Koehler, Nicolas Remy, Steven L. Scott
Link: http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/41854.pdf
Presenter: Stephen Wright
Paper(s): A Statistical Perspective on Algorithmic Leveraging // Leveraging for Big Data Regression
Author(s): Ping Ma, Michael W. Mahoney, Bin Yu, Xiaoxiao Sun
Link(s): http://jmlr.org/proceedings/papers/v32/ma14.pdf and http://onlinelibrary.wiley.com/doi/10.1002/wics.1324/pdf
Presenter: Chris Evenhuis
Paper: Sequential Kernel Herding: Frank-Wolfe Optimization for Particle Filtering
Author(s): Simon Lacoste-Julien, Fredrik Lindsten, Francis Bach
Link: http://arxiv.org/pdf/1501.02056v2.pdf