Results 21 to 30 of about 6,999,060 (353)
Testing convex hypotheses on the mean of a Gaussian vector. Application to testing qualitative hypotheses on a regression function [PDF]
In this paper we propose a general methodology, based on multiple testing, for testing that the mean of a Gaussian vector in R^n belongs to a convex set. We show that the test achieves its nominal level, and characterize a class of vectors over which the
Baraud, Yannick+2 more
core +4 more sources
Comment: Classifier Technology and the Illusion of Progress [PDF]
Comment on Classifier Technology and the Illusion of Progress [math.ST/0606441]
arxiv +2 more sources
Survival analysis is a group of statistical methods used to analyze data representing the time to an event of interest, e.g., the duration of survival after an out‐of‐hospital cardiac arrest or the length of time a patient stays in the ED. Survival analysis properly accounts for patients who are lost to follow‐up and for patients who have not yet ...
Kelly D. Young+2 more
openaire +2 more sources
One Hundred Probability and Statistics Inequalities [PDF]
Herein we present one hundred inequalities culled from various corners of the probability, statistics, and combinatorics literature. We welcome new suggestions.
arxiv
A Database and Evaluation Methodology for Optical Flow
The quantitative evaluation of optical flow algorithms by Barron et al. (1994) led to significant advances in performance. The challenges for optical flow algorithms today go beyond the datasets and evaluation methods proposed in that paper.
Simon Baker+5 more
semanticscholar +1 more source
A Multi-Risk Methodology for the Assessment of Climate Change Impacts in Coastal Zones
Climate change threatens coastal areas, posing significant risks to natural and human systems, including coastal erosion and inundation. This paper presents a multi-risk approach integrating multiple climate-related hazards and exposure and vulnerability
V. Gallina+5 more
semanticscholar +1 more source
Modeling and estimation of multi-source clustering in crime and security data [PDF]
While the presence of clustering in crime and security event data is well established, the mechanism(s) by which clustering arises is not fully understood.
Mohler, George
core +1 more source
Rarefaction, Alpha Diversity, and Statistics
Understanding the drivers of microbial diversity is a fundamental question in microbial ecology. Extensive literature discusses different methods for describing microbial diversity and documenting its effects on ecosystem function.
A. Willis
semanticscholar +1 more source
Handbook on Constructing Composite Indicators: Methodology and User Guide
This Handbook aims to provide a guide for constructing and using composite indicators for policy makers, academics, the media and other interested parties. While there are several types of composite indicators, this Handbook is concerned with those which
M. Nardo+5 more
semanticscholar +1 more source
Q-learning with censored data [PDF]
We develop methodology for a multistage decision problem with flexible number of stages in which the rewards are survival times that are subject to censoring.
Goldberg, Yair, Kosorok, Michael R.
core +3 more sources