Results 21 to 30 of about 2,566,706 (187)

Strong Approximation of Empirical Copula Processes by Gaussian Processes

, 2011
We provide the strong approximation of empirical copula processes by a Gaussian process. In addition we establish a strong approximation of the smoothed empirical copula processes and a law of iterated ...
Adler R. J., Bouzebda S., Chung K.-L., Csörgő M., Csörgő M., Cui S., DasGupta A., Deheuvels P., Deheuvels P., Deheuvels P., Fermanian J.-D., Joe H., McNeil A. J., Moore D. S., Nelsen R. B., Piterbarg V. I., Salim Bouzebda, Shorack G. R., Sklar A., Sklar A., Tarek Zari, Tsukahara H.   +21 more
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Sequential Empirical Process of Independence [PDF]

Journal of Siberian Federal University. Mathematics & Physics, 2018
Summary: Uniform strong laws of large numbers and the central limit theorem for special sequential empirical process of independence for a certain class of measurable functions are considered in the paper.
Abdushukurov, Abdurahim A., Kakadjanova, Leyla R.   +1 more
openaire   +2 more sources

Empirical processes indexed by estimated functions

, 2007
We consider the convergence of empirical processes indexed by functions that depend on an estimated parameter $\eta$ and give several alternative conditions under which the ``estimated parameter'' $\eta_n$ can be replaced by its natural limit $\eta_0 ...
van der Vaart, Aad W., Wellner, Jon A.
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VALIDACIÓN EMPÍRICA DEL MODELO DE FORMULACIÓN CLÍNICA POR PROCESOS BÁSICOS DE CASTRO Y ÁNGEL [PDF]

Acta Colombiana de Psicología, 2010
The aim of this research was to carry out the empirical validation of the clinical formulation model founded on basic processes and proposed by Castro and Angel (1998).
Rodríguez Páez, Myriam, Vanegas Gómez, Freddy Orlando   +1 more
doaj  

Business Processes Modeling Recommender Systems: User Expectations and Empirical Evidence

Complex Systems Informatics and Modeling Quarterly, 2018
Recommender systems are in widespread use in many areas, especially electronic commerce solutions. In this contribution, we apply recommender functionalities to business process modeling and investigate their potential for supporting process modeling. To
Michael Fellmann, Novica Zarvić, Oliver Thomas   +2 more
doaj   +1 more source

Empirical process sampled along a stationary process

, 2023
Let $(X_{\underline{\ell}})_{\underline{\ell} \in \mathbb Z^d}$ be a real random field (r.f.) indexed by $\mathbb Z^d$ with common probability distribution function $F$. Let $(z_k)_{k=0}^\infty$ be a sequence in $\mathbb Z^d$. The empirical process obtained by sampling the random field along $(z_k)$ is $\sum_{k=0}^{n-1} [{\bf 1}_{X_{z_k} \leq s}- F(s)]$
Cohen, Guy, Conze, Jean-Pierre
openaire   +3 more sources

Empirical and Gaussian processes on Besov classes

, 2006
We give several conditions for pregaussianity of norm balls of Besov spaces defined over $\mathbb{R}^d$ by exploiting results in Haroske and Triebel (2005).
Nickl, Richard
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Limit Theorems in the Nonparametric Conditional Single-Index U-Processes for Locally Stationary Functional Random Fields under Stochastic Sampling Design

Mathematics
In his work published in (Ann. Probab. 19, No. 2 (1991), 812–825), W. Stute introduced the notion of conditional U-statistics, expanding upon the Nadaraya–Watson estimates used for regression functions.
Salim Bouzebda
doaj   +1 more source

Improving IT Service Management in Customer Service Business: A Case Study

Informacijos Mokslai, 2021
Organisations that provide information technology services mostly set goals for improving the quality and management of services. The ability to remain competitive is one of the most critical factors in any modern organisation's success.
Inga Žilinskienė, Justinas Norkus
doaj   +1 more source

Semiparametric theory and empirical processes in causal inference

, 2016
In this paper we review important aspects of semiparametric theory and empirical processes that arise in causal inference problems. We begin with a brief introduction to the general problem of causal inference, and go on to discuss estimation and ...
A. Belloni, A. Belloni, A.A. Tsiatis, A.R. Luedtke, A.W. Vaart van der, A.W. Vaart van der, A.W. Vaart van der, A.W. Vaart van der, B. Chakraborty, C.F. Manski, D. Pollard, D. Pollard, D.B. Rubin, D.B. Rubin, D.W.K. Andrews, D.W.K. Andrews, E. Tchetgen, E. Tchetgen, E. Tchetgen, E.H. Kennedy, E.L. Ogburn, G.R. Shorack, I. Diaz, I. Diaz, J. Hahn, J. Pearl, J. Pearl, J. Pfanzagl, J. Pfanzagl, J.D. Angrist, J.L. Horowitz, J.M. Begun, J.M. Robins, J.M. Robins, J.M. Robins, J.M. Robins, J.M. Robins, J.M. Robins, L.A. Stefanski, M. Carone, M.A. Hernan, M.G. Hudgens, M.J. Laan van der, M.J. Laan van der, M.J. Laan van der, M.J. Laan van der, M.J. Laan van der, M.J. Laan van der, M.J. Laan van der, M.J. Laan van der, M.L. Petersen, M.R. Kosorok, P.A. Dawid, P.J. Bickel, R. Neugebauer, R.D. Gill, S. Rose, S.A. Murphy, T.J. VanderWeele, T.J. VanderWeele, T.J. VanderWeele, T.J. VanderWeele, W. Zheng, W.K. Newey, W.K. Newey   +64 more
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