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作者：Elmasri, Mohamad; Labbe, Aurelie; Larocque, Denis; Charlin, Laurent
作者单位：University of Toronto; Universite de Montreal; HEC Montreal
摘要：Recent statistical methods fitted on large-scale GPS data can provide accurate estimations of the expected travel time between two points. However, little is known about the distribution of travel time, which is key to decision -making across a number of logistic problems. With sufficient data single road-segment travel time can be well approximated. The challenge lies in understanding how to aggregate such information over a route to arrive at the route-distribution of travel time. We develop...
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作者：Savitsky, Terrance D.; Gershunskaya, Julie; Crankshaw, Mark
摘要：We propose a novel Bayesian framework for the joint modeling of survey point and variance estimates for count data. The approach incorporates an induced prior distribution on the modeled true variance that sets it equal to the generating variance of the point estimate, a key property more readily achieved for continuous data response type models. Our count data model formulation allows the input of domains at multiple resolutions (e.g., states, regions, nation) and simultaneously benchmarks mo...
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作者：Freulon, P. A. U. L.; Bigot, J. E. R. E. M. I. E.; Hejblum, Boris p.
作者单位：Universite de Bordeaux; Institut National de la Sante et de la Recherche Medicale (Inserm); Universite de Bordeaux
摘要：The automated analysis of flow cytometry measurements is an active research field. We introduce a new algorithm, referred to as CytOpT, using regularized optimal transport to directly estimate the different cell population proportions from a biological sample characterized with flow cytometry measurements. We rely on the regularized Wasserstein metric to compare cytometry measurements from different samples, thus accounting for possible misalignment of a given cell population across samples (d...
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作者：Kuha, Jouni; Zhang, Siliang; Steele, Fiona
作者单位：University of London; London School Economics & Political Science; East China Normal University
摘要：Understanding the help and support that is exchanged between family members of different generations is of increasing importance, with research questions in sociology and social policy focusing on both predictors of the levels of help given and received, and on reciprocity between them. We pro-pose general latent variable models for analysing such data, when helping tendencies in each direction are measured by multiple binary indicators of specific types of help. The model combines two continu...
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作者：Ren, Zhimei; Candes, Emmanuel
作者单位：University of Chicago; Stanford University
摘要：We consider the problem of assessing the importance of multiple variables or factors from a dataset when side information is available. In principle, using side information can allow the statistician to pay attention to variables with a greater potential which, in turn, may lead to more discoveries. We introduce an adaptive knockoff filter, which generalizes the knockoff procedure (2018) 551-577), in that it uses both the data at hand and side information to adaptively order the variables unde...
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作者：Duan, Rui; Tong, Jiayi; Lin, Lifeng; Levine, Lisa; Sammel, Mary; Stoddard, Joel; Li, Tianjing; Schmid, Christopher H.; Chu, Haitao; Chen, Yong
作者单位：Harvard University; Harvard T.H. Chan School of Public Health; University of Pennsylvania; University of Arizona; University of Pennsylvania; University of Colorado System; University of Colorado Denver; Brown University; Pfizer; Pfizer USA
摘要：The growing number of available treatment options has led to urgent needs for reliable answers when choosing the best course of treatment for a patient. As it is often infeasible to compare a large number of treatments in a single randomized controlled trial, multivariate network meta-analyses (NMAs) are used to synthesize evidence from trials of a subset of the treatments, where both efficacy and safety related outcomes are considered simultaneously. However, these large-scale multiple-outcom...
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作者：Kim, Bomin; Niu, Xiaoyue; Hunter, David; Cao, Xun
作者单位：Freddie Mac; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University
摘要：Motivated by a study of United Nations voting behaviors, we introduce a regression model for a series of networks that are correlated over time. Our model is a dynamic extension of the additive and multiplicative effects network model (AMEN) of Hoff (Statist. Sci. 36 (2021) 34-50). In addition to incorporating a temporal structure, the model accommodates two types of missing data and thus allows the size of the network to vary over time. We demonstrate via simulations the necessity of various ...
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作者：Kelly, Luke J.; Ryder, Robin J.; Clarte, Gregoire
作者单位：Centre National de la Recherche Scientifique (CNRS); CNRS - National Institute for Mathematical Sciences (INSMI); Universite PSL; Universite Paris-Dauphine; University of Helsinki
摘要：Phylogenetic inference is an intractable statistical problem on a complex space. Markov chain Monte Carlo methods are the primary tool for Bayesian phylogenetic inference, but it is challenging to construct efficient schemes to explore the associated posterior distribution or assess their performance. Existing approaches are unable to diagnose mixing or convergence of Markov schemes jointly across all components of a phylogenetic model. Lagged couplings of Markov chain Monte Carlo algorithms h...
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作者：Kim, Jungeum; Wang, Xiao
作者单位：Purdue University System; Purdue University
摘要：The idea of robustness is central and critical to modern statistical analymany studies have shown that DNNs are vulnerable to adversarial attacks. Making imperceptible changes to an image can cause DNN models to make the wrong classification with high confidence, such as classifying a benign mole as a malignant tumor and a stop sign as a speed limit sign. The tradeoff between robustness and standard accuracy is common for DNN models. In this paper we introduce sensible adversarial learning and...
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作者：Sottosanti, Andrea; Risso, Davide
作者单位：University of Padua
摘要：Spatial transcriptomics is a groundbreaking technology that allows the where the activity occurs. This technology has enabled the study of the spatial variation of the genes across the tissue. Comprehending gene functions and interactions in different areas of the tissue is of great scientific interest, as it might lead to a deeper understanding of several key biological mechanisms, such as cell-cell communication or tumor-microenvironment interaction. To do so, one can group cells of the same...
