Results 1 to 10 of about 8,302 (72)
Distributional inference [PDF]
, 1995 The making of statistical inferences in distributional form is conceptionally complicated because the epistemic 'probabilities' assigned are mixtures of fact and fiction.
Kroese, A.H. +3 more
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Asymptotic equivalence and adaptive estimation for robust nonparametric regression [PDF]
, 2009 Asymptotic equivalence theory developed in the literature so far are only for bounded loss functions. This limits the potential applications of the theory because many commonly used loss functions in statistical inference are unbounded.
Cai, T. Tony, Zhou, Harrison H.
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Optimal Tests of Treatment Effects for the Overall Population and Two Subpopulations in Randomized Trials, using Sparse Linear Programming [PDF]
, 2013 We propose new, optimal methods for analyzing randomized trials, when it is suspected that treatment effects may differ in two predefined subpopulations. Such sub-populations could be defined by a biomarker or risk factor measured at baseline.
Liu, Han +2 more
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Admissible predictive density estimation [PDF]
, 2008 Let $X|\mu\sim N_p(\mu,v_xI)$ and $Y|\mu\sim N_p(\mu,v_yI)$ be independent $p$-dimensional multivariate normal vectors with common unknown mean $\mu$. Based on observing $X=x$, we consider the problem of estimating the true predictive density $p(y|\mu ...
Brown, Lawrence D. +2 more
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The Bayesian Analysis of Complex, High-Dimensional Models: Can It Be CODA? [PDF]
, 2014 We consider the Bayesian analysis of a few complex, high-dimensional models and show that intuitive priors, which are not tailored to the fine details of the model and the estimated parameters, produce estimators which perform poorly in situations in ...
Bickel, P. J. +3 more
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Erich Leo Lehmann---A glimpse into his life and work
, 2011 Through the use of a system-building approach, an approach that includes finding common ground for the various philosophical paradigms within statistics, Erich L.
Rojo, Javier
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Wavelet Estimators in Nonparametric Regression: A Comparative Simulation Study [PDF]
, 2001 Wavelet analysis has been found to be a powerful tool for the nonparametric estimation of spatially-variable objects. We discuss in detail wavelet methods in nonparametric regression, where the data are modelled as observations of a signal contaminated ...
Antoniadis, Anestis +2 more
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On rate optimality for ill-posed inverse problems in econometrics [PDF]
, 2007 In this paper, we clarify the relations between the existing sets of regularity conditions for convergence rates of nonparametric indirect regression (NPIR) and nonparametric instrumental variables (NPIV) regression models.
Chen, Xiaohong, Reiss, Markus
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Minimax Estimation of Nonregular Parameters and Discontinuity in Minimax Risk
, 2014 When a parameter of interest is nondifferentiable in the probability, the existing theory of semiparametric efficient estimation is not applicable, as it does not have an influence function.
Bickel P. J. +7 more
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Shrinkage Estimation in Multilevel Normal Models
, 2012 This review traces the evolution of theory that started when Charles Stein in 1955 [In Proc. 3rd Berkeley Sympos. Math. Statist. Probab. I (1956) 197--206, Univ.
Lysy, Martin, Morris, Carl N.
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