Results 11 to 20 of about 529,179 (290)

Statistical Analysis of Multi-Relational Network Recovery

Frontiers in Applied Mathematics and Statistics, 2020
In this paper, we develop asymptotic theories for a class of latent variable models for large-scale multi-relational networks. In particular, we establish consistency results and asymptotic error bounds for the (penalized) maximum likelihood estimators ...
Zhi Wang, Xueying Tang, Jingchen Liu
doaj   +1 more source

Tail posture and motion in relation to natural behaviour in juvenile and adult pigs

Animal, 2022
The tail of pigs has been suggested as a welfare indicator as it can provide insight into a pig’s behavioural and emotional states. Tail posture and motion have so far mainly been studied in the context of tail biting behaviour. The aim of this study was
P.M. Iglesias, I. Camerlink
doaj   +1 more source

Polynomial tails of additive-type recursions [PDF]

Discrete Mathematics & Theoretical Computer Science, 2008
Polynomial bounds and tail estimates are derived for additive random recursive sequences, which typically arise as functionals of recursive structures, of random trees, or in recursive algorithms.
Eva-Maria Schopp
doaj   +1 more source

Tail probabilities for triangular arrays [PDF]

Journal of Dynamics & Games, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fudenberg, Drew, Levine, David
openaire   +4 more sources

Estimating tail probabilities [PDF]

, 1982
This paper investigates procedures for univariate nonparametric estimation of tail probabilities. Extrapolated values for tail probabilities beyond the data are also obtained based on the shape of the density in the tail. Several estimators which use exponential weighting are described.
Carr, D. B., Tolley, H. D.
openaire   +2 more sources

Tail Asymptotics of Deflated Risks [PDF]

, 2013
Random deflated risk models have been considered in recent literatures. In this paper, we investigate second-order tail behavior of the deflated risk X=RS under the assumptions of second-order regular variation on the survival functions of the risk R and
Hashorva, E., Ling, C., Peng, Z.
core   +3 more sources

TAIL PROBABILITIES IN QUEUEING PROCESSES [PDF]

Asia-Pacific Journal of Operational Research, 2014
In the study of large scale stochastic networks with resource management, differential equations and mean-field limits are two key techniques. Recent research shows that the expected fraction vector (that is, the tail probability vector) plays a key role in setting up mean-field differential equations.
openaire   +4 more sources

Lower tail probabilities for Gaussian processes [PDF]

The Annals of Probability, 2004
The authors study the asymptotic behavior of lower tail probability for Gaussian random processes and their applications. Let \(X=(X_t)_{t\in S}\) be a real-valued centered Gaussian process indexed by \(S\). They first show a general estimate of the probability \(P(\sup_{t\in S}(X_t-X_{t_0})\leq x)\) as \(x\to 0\), with \(t_0\in S\) fixed, under mild ...
Shao, Qi-Man, Li, W.
openaire   +3 more sources

An exact bound for tail probabilities for a class of conditionally symmetric bounded martingales

Lietuvos Matematikos Rinkinys, 2023
We consider the class, say ℳn,sym, of martingales Mn = X1 + ⋯ + Xn with conditionally symmetric bounded differences Xk such that |Xk | ≤ 1. We find explicitly a solution, say Dn(x), of the variational problem Dn(x) ≝ sup Mn ∈ℳn,sym ℙ {Mn ≥ x}.
Dainius Dzindzalieta
doaj   +3 more sources

Exponential bounds for the tail probability of the supremum of an inhomogeneous random walk

Modern Stochastics: Theory and Applications, 2018
Let $\{{\xi _{1}},{\xi _{2}},\dots \}$ be a sequence of independent but not necessarily identically distributed random variables. In this paper, the sufficient conditions are found under which the tail probability $\mathbb{P}(\,{\sup _{n\geqslant 0 ...
Dominyka Kievinaitė, Jonas Šiaulys
doaj   +1 more source