High-dimensional statistical inference
WebA large number of approaches have focused on obtaining uniformly valid inference of causal effects in high-dimensions [16, 17, 18]. ... S. Schneeweiss, and M. J. van der Laan, “Scalable collaborative targeted learning for high-dimensional data,” Statistical methods in medical research, vol. 28, no. 2, pp. 532–554, ... Web3 de out. de 2024 · Inference on High-dimensional Single-index Models with Streaming Data. Traditional statistical methods are faced with new challenges due to streaming …
High-dimensional statistical inference
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Web'This book provides an in-depth mathematical treatment and methodological intuition of high-dimensional statistics. The main technical tools from probability theory are … WebEstimation and inference of change points in high-dimensional factor models. Journal of Econometrics 219, 66-100. [4] Bai, J., Li, K., 2012. Statistical analysis of factor models …
WebIn this paper we develop an online statistical inference approach for high-dimensional generalized linear models with streaming data for real-time estimation and inference. … Web1 de jun. de 2024 · Abstract. In this paper, we discuss the estimation of a nonparametric component f1 f 1 of a nonparametric additive model Y = f1(X1)+⋯+fq(Xq)+ϵ Y = f 1 ( X 1) + ⋯ + f q ( X q) + ϵ. We allow the number q of additive components to grow to infinity and we make sparsity assumptions about the number of nonzero additive components.
WebIn the field of high-dimensional statistical inference more generally, uncertainty quantification has become a major theme over the last decade, originating with influential work on the debiased Lasso in (generalized) linear models (Javanmard and Montanari 2014; van de Geer et al. 2014; Zhang and Zhang 2014), and subsequently developed in other … WebAbstract. High-dimensional group inference is an essential part of statistical methods for analysing complex data sets, including hierarchical testing, tests of interaction, detection of heterogeneous treatment effects and inference for local heritability. Group inference in regression models can be measured with respect to a weighted quadratic ...
WebDepartment of Statistics and Finance, School of Management, University of Science and Technology of China, Hefei, P.R. China. Correspondence to: Yu Chen, Department of …
Web16 de set. de 2024 · This motivates us to propose statistical inference approaches for LCSTE(X) with high-dimensional covariates. As an extension of the proposed approach, doubly robust estimation for high-dimensional data is discussed in Section 8. 3 Estimation Method. We begin with notation and definitions. north forney high school football ticketsWeb10 de ago. de 2024 · In this paper we develop an online statistical inference approach for high-dimensional generalized linear models with streaming data for real-time estimation and inference. We propose an online debiased lasso (ODL) method to accommodate the special structure of streaming data. ODL differs from offline debiased lasso in two … north forney baseballWebHigh-dimensional statistics focuses on data sets in which the number of features is of comparable size, or larger than the number of observations. Data sets of this type present a variety of new challenges, since classical theory and methodology can break down in surprising and unexpected ways. Researchers at Berkeley study both the statistical ... how to say brat in japaneseWeb1 HighDimensionalStatisticalInferenceAndRand omMatricesPdf Pdf Recognizing the way ways to get this books HighDimensionalStatisticalInferenceAndRandomMatricesPdf … north forney boys basketballWebIn this work, we study high-dimensional varying-coefficient quantile regression models and develop new tools for statistical inference. We focus on development of valid confidence intervals and honest tests for nonparametric coefficients at a fixed time point and quantile, while allowing for a high-dimensional setting where the number of input ... north forneyWeb11 de abr. de 2024 · Data analysis in HEP experiments often uses binned likelihood from data and finite Monte Carlo sample. Statistical uncertainty of Monte Carlo sample has … north forney high school dress codeWebSpringer Nature 2024 LATEX template Statistical Inference and Large-scale Multiple Testing for High-dimensional Regression Models T. Tony Cai1, Zijian Guo2 and Yin Xia3 1Department of Statistics ... north for men oriflame