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ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 1h

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Subgroup analysis methods for time-to-event outcomes in heterogeneous randomized controlled trials () Non-significant randomized control trials can hide subgroups of good
responders to experimental drugs, thus hindering subsequent development.
Identifying such heterogeneous treatment effe

ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 14h

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On the optimality of coin-betting for mean estimation (Clerico) Confidence sequences are sequences of confidence sets that adapt to incoming data while maintaining validity. Recent advances have introduced an algorithmic formulation for constructing some of the tightest confidence sequenc

ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 16h

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Moving Aggregate Modified Autoregressive Copula-Based Time Series Models (MAGMAR-Copulas) Without Markov Restriction () Copula-based time series models implicitly assume a finite Markov order. In reality a time series may not follow the Markov property. We modify the copula-based time ser

ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 19h

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Efficient Input Uncertainty Quantification for Ratio Estimator () arXiv:2410.04696v1 Announce Type: new
Abstract: We study the construction of a confidence interval (CI) for a simulation output performance measure that accounts for input uncertainty when the input models are estimated fr

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ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 22h

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Dice, but don't slice: Optimizing the efficiency of ONEAudit (Spertus, Glazer, Stark) ONEAudit provides more efficient risk-limiting audits than other extant methods when the voting system cannot report a cast-vote record linked to each cast card. It obviates the need for re-scanning; it

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ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 1d

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Adaptive Sphericity Tests for High Dimensional Data () arXiv:2410.24094v1 Announce Type: new
Abstract: In this paper, we investigate sphericity testing in high-dimensional settings, where existing methods primarily rely on sum-type test procedures that often underperform under sparse alt

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ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 1d

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Semi-Confirmatory Factor Analysis for High-Dimensional Data with Interconnected Community Structures () arXiv:2401.00624v2 Announce Type: replace
Abstract: Confirmatory factor analysis (CFA) is a statistical method for identifying and confirming the presence of latent factors among obser

ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 1d

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Testing for the extent of instability in nearly unstable processes () arXiv:2310.13444v2 Announce Type: replace-cross
Abstract: This paper deals with unit root issues in time series analysis. It has been known for a long time that unit root tests may be flawed when a series although stat

ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 1d

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Learning Conditional Average Treatment Effects in Regression Discontinuity Designs using Bayesian Additive Regression Trees (Alcantara, Hahn, Carvalho et al) BART (Bayesian additive regression trees) has been established as a leading supervised learning method, particularly in the field o

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ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 1d

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A general randomized test for Alpha (Massacci, Sarno, Trapani et al) We propose a methodology to construct tests for the null hypothesis that the pricing errors of a panel of asset returns are jointly equal to zero in a linear factor asset pricing model -- that is, the null of "zero alpha

ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 2d

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Two-Stage Trigonometric Regression for Modeling Circadian Rhythms (Gorczyca, Li, Newkirk et al) Gene expression levels, hormone secretion, and internal body temperature each oscillate over an approximately 24-hour cycle, or display circadian rhythms. Many circadian biology studies have in

ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 2d

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Adaptive Thresholds for Monitoring and Screening in Imbalanced Samples: Optimality and Boosting Sensitivity (Steland) Suppose (standardized) measurements or statistics are monitored to raise an alarm when a threshold is exceeded. Often, the underlying population is heterogenous with respe

ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 2d

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A Honest Cross-Validation Estimator for Prediction Performance (Pan, Yu, Devanarayan et al) Cross-validation is a standard tool for obtaining a honest assessment of the performance of a prediction model. The commonly used version repeatedly splits data, trains the prediction model on the

ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 2d

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A coupling-based approach to f-divergences diagnostics for Markov chain Monte Carlo (Corenflos, Dau) A long-standing gap exists between the theoretical analysis of Markov chain Monte Carlo convergence, which is often based on statistical divergences, and the diagnostics used in practice.

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ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 2d

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Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death (University), University), University)) Truncation by death, a prevalent challenge in critical care, renders traditional dynamic treatment regime (DTR) evaluation inapplicable due to ill-defined potential

ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 2d

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Estimands and doubly robust estimation for cluster-randomized trials with survival outcomes (Fang, Wang, Hu et al) Cluster-randomized trials (CRTs) are experimental designs where groups or clusters of participants, rather than the individual participants themselves, are randomized to inte

ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 2d

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Stochastic Volatility-in-mean VARs with Time-Varying Skewness (Ferreira, Mumtaz, Skoblar) This paper introduces a Bayesian vector autoregression (BVAR) with stochastic volatility-in-mean and time-varying skewness. Unlike previous approaches, the proposed model allows both volatility and s

ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 2d

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Doubly Robust Estimation with Stabilized Weights for Binary Proximal Outcomes in Micro-Randomized Trials (Cha, Cha) Micro-randomized trials (MRTs) are increasingly used to evaluate mobile health interventions with binary proximal outcomes. Standard inverse probability weighting (IPW) esti

ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 2d

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Bayesian Profile Regression with Linear Mixed Models (Profile-LMM) applied to Longitudinal Exposome Data (Amestoy, Wiel, Lakerveld et al) Exposure to diverse non-genetic factors, known as the exposome, is a critical determinant of health outcomes. However, analyzing the exposome presents

ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 2d

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Fitting sparse high-dimensional varying-coefficient models with Bayesian regression tree ensembles (Ghosh, Bhogale, Deshpande) By allowing the effects of $p$ covariates in a linear regression model to vary as functions of $R$ additional effect modifiers, varying-coefficient models (VCMs)

ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 2d

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Detection of mean changes in partially observed functional data (Hudecov\'a, Kirch) We propose a test for a change in the mean for a sequence of functional observations that are only partially observed on subsets of the domain, with no information available on the complement. The framewor

ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 2d

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Adjusted Random Effect Block Bootstraps for Highly Unbalanced Clustered Data (Tho, Chambers, Welsh) Clustered data arise naturally in many scientific and applied research settings where units are grouped within clusters. They are commonly analyzed using linear mixed models to account for

ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 2d

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Density estimation for compositional data using nonparametric mixtures (Xie, Wang, Garc\'ia-Portugu\'es) Compositional data, representing proportions constrained to the simplex, arise in diverse fields such as geosciences, ecology, genomics, and microbiome research. Existing nonparametric

ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 2d

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Integrating smart surveys with traditional surveys (Mccool, Lugtig, Struminskaya) Smart surveys are surveys that make use of sensors and machine intelligence to reduce respondent burden and increase data quality. Smart surveys have been tests as a way to improve diary surveys in official

ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 2d

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Zero-Inflated Bayesian Multi-Study Infinite Non-Negative Matrix Factorization (Hansen, Zorzetto, Edefonti et al) Understanding the association between dietary patterns and health outcomes, such as the cancer risk, is crucial to inform public health guidelines and shaping future dietary in