Results 11 to 20 of about 214,513 (262)

A Priori Ratemaking Selection Using Multivariate Regression Models Allowing Different Coverages in Auto Insurance

open access: yesRisks, 2021
A comprehensive auto insurance policy usually provides the broadest protection for the most common events for which the policyholder would file a claim.
Emilio Gómez-Déniz   +1 more
doaj   +1 more source

Composition Algorithms for Conditional Distributions

open access: yes, 2022
This chapter is about two recently published algorithms that can be used to sample from conditional distributions. We show how the efficiency of the algorithms can be improved when a sample is required from many conditional distributions. Using real-data examples from educational measurement, we show how the algorithms can be used to sample from ...
Maarten Marsman   +2 more
openaire   +4 more sources

Distribution-free conditional median inference [PDF]

open access: yesElectronic Journal of Statistics, 2021
We consider the problem of constructing confidence intervals for the median of a response $Y \in \mathbb{R}$ conditional on features $X \in \mathbb{R}^d$ in a situation where we are not willing to make any assumption whatsoever on the underlying distribution of the data $(X,Y)$.
Medarametla, Dhruv, Candès, Emmanuel
openaire   +2 more sources

Noncomputable Conditional Distributions [PDF]

open access: yes2011 IEEE 26th Annual Symposium on Logic in Computer Science, 2011
We study the computability of conditional probability, a fundamental notion in probability theory and Bayesian statistics. In the elementary discrete setting, a ratio of probabilities defines conditional probability. In more general settings, conditional probability is defined axiomatically, and the search for more constructive definitions is the ...
Nathanael L. Ackerman   +2 more
openaire   +1 more source

Forcasting Portofolio Value-At-Risk for International Stocks, Bonds, and Foreign Exchange Emerging Market Evidence

open access: yesEconomic Journal of Emerging Markets, 2011
This paper uncovers the nature of conditional correlations between and volatility spillovers across bond, stock and foreign exchange in Indonesia, Malaysia, the Philippines, and Thailand.
Abdul Hakim
doaj   +9 more sources

MOMENTS OF THE LENGTH OF LINE SEGMENTS IN HOMOGENEOUS PLANAR STIT TESSELLATIONS

open access: yesImage Analysis and Stereology, 2011
Homogeneous planar tessellations stable under iteration (STIT tessellations) are considered. Using recent results about the joint distribution of direction and length of the typical I-, K- and J-segment we prove closed formulas for the first, second and ...
Christoph Thäle
doaj   +1 more source

Semi-equivariant conditional normalizing flows, with applications to target-aware molecule generation

open access: yesMachine Learning: Science and Technology, 2023
Learning over the domain of 3D graphs has applications in a number of scientific and engineering disciplines, including molecular chemistry, high energy physics, and computer vision.
Eyal Rozenberg, Daniel Freedman
doaj   +1 more source

Improper regular conditional distributions

open access: yesThe Annals of Probability, 2001
Improper regular conditional distributions (rcd's) given a σ-field .A have the following anomalous property. For sets A ∈, Pr(A I A) is not always equal to the indicator of A. Such a property makes the conditional probability puzzling as a representation of uncertainty.
Seidenfeld, Teddy   +2 more
openaire   +3 more sources

An Ordering Decision-Making Approach on Spare Parts for Civil Aircraft Based on a One-Sample Prediction

open access: yesIEEE Access, 2018
Ordering decision-making on spare parts is crucial in maximizing aircraft utilization and minimizing operating costs. This paper develops an approach of ordering decision-making for civil aircraft spare parts based on a one-sample prediction. Engineering
Yongquan Sun   +3 more
doaj   +1 more source

Some Algorithms for the Conditional Mean Vector and Covariance Matrix

open access: yesJournal of Statistical Software, 2006
We consider here the problem of computing the mean vector and covariance matrix for a conditional normal distribution, considering especially a sequence of problems where the conditioning variables are changing.
John F. Monahan
doaj   +3 more sources

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