Results 91 to 100 of about 272,931 (273)
Dependent Samples in Empirical Estimation of Stochastic Programming Problems
Austrian Journal of Statistics, 2016 Stochastic optimization models are built with the assumption that the underlying probability measure is entirely known. This is not true in practice, however: empirical approximation or estimates are used instead.
Vlasta Kaňková, Michal Houda
doaj +1 more source
The shape of incomplete preferences
, 2006 Incomplete preferences provide the epistemic foundation for models of imprecise subjective probabilities and utilities that are used in robust Bayesian analysis and in theories of bounded rationality.
Nau, Robert
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His‐MMDM: Multi‐Domain and Multi‐Omics Translation of Histopathological Images with Diffusion Models
Advanced Science, EarlyView.His‐MMDM is a diffusion model‐based framework for scalable multi‐domain and multi‐omics translation of histopathological images, enabling tasks from virtual staining, cross‐tumor knowledge transfer, and omics‐guided image editing. ABSTRACT Generative AI (GenAI) has advanced computational pathology through various image translation models.
Zhongxiao Li +13 more
wiley +1 more source
Nachruf: Prof. Ing. Dr. Adolf ADAM
Austrian Journal of Statistics, 2016 Nachruf: Prof. Ing. Dr. Adolf ADAM (* 9. Februar 1918, †7. August 2004)
Wilfried Grossmann, Norbert Rozsenich
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, 2006 Several classical results on boundary crossing probabilities of Brownian motion and random walks are extended to asymptotically Gaussian random fields, which include sums of i.i.d.
Chan, Hock Peng, Lai, Tze Leung
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Generating Dynamic Structures Through Physics‐Based Sampling of Predicted Inter‐Residue Geometries
Advanced Science, EarlyView.While static structure prediction has been revolutionized, modeling protein dynamics remains elusive. trRosettaX2‐Dynamics is presented to address this challenge. This framework leverages a Transformer‐based network to predict inter‐residue geometric constraints, guiding conformation generation via physics‐based iterative sampling. The resulting method
Chenxiao Xiang +3 more
wiley +1 more source
Trimmed Likelihood-based Estimation in Binary Regression Models
Austrian Journal of Statistics, 2016 Binary-choice regression models such as probit and logit are typically estimated by the maximum likelihood method. To improve its robustness, various M-estimation based procedures were proposed, which however require bias corrections to achieve ...
Pavel Čížek
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A Conversation with Ulf Grenander
, 2007 Ulf Grenander was born in Vastervik, Sweden, on July 23, 1923. He started his undergraduate education at Uppsala University, and earned his B.A. degree in 1946, the Fil. Lic. degree in 1948 and the Fil. Dr.
Mukhopadhyay, Nitis
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Nanozymes Integrated Biochips Toward Smart Detection System
Advanced Science, EarlyView.This review systematically outlines the integration of nanozymes, biochips, and artificial intelligence (AI) for intelligent biosensing. It details how their convergence enhances signal amplification, enables portable detection, and improves data interpretation.
Dongyu Chen +10 more
wiley +1 more source
Permutation Tests for Univariate and Multivariate Ordered Categorical Data
Austrian Journal of Statistics, 2016 In this paper, we provide solutions for univariate and multivariate testing problems with ordered categorical variables by working within the nonparametric combination of dependent permutation tests (see Pesarin, 2001).
Fortunato Pesarin, Luigi Salmaso
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