Results 131 to 140 of about 97,330 (246)

Nichtlineare Staubungsneigung binärer Schüttgutmischungen: Herausforderungen bei der Prognose Non‐linear dusting tendency of binary bulk material mixtures: Challenges in prognosis

open access: yesChemie Ingenieur Technik, EarlyView.
Aufgrund überlagerter oder konkurrierender Mechanismen sind relevante Wechselwirkungen bei der Staubung von Schüttgutmischungen komplex und nur unzureichend verstanden. Selbst für Mischungen aus umfassend charakterisierten Einzelkomponenten existieren keine belastbaren Modelle. In dieser Arbeit werden die Hürden bei der Prognose thematisiert.
David Horst   +2 more
wiley   +1 more source

Rank‐based estimation of propensity score weights via subclassification

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Propensity score (PS) weighting estimators are widely used for causal effect estimation and enjoy desirable theoretical properties, such as consistency and potential efficiency under correct model specification. However, their performance can degrade in practice due to sensitivity to PS model misspecification.
Linbo Wang   +3 more
wiley   +1 more source

Subuniformity of harmonic mean p$$ p $$‐values

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract We obtain several inequalities on the generalized means of dependent p$$ p $$‐values. In particular, the weighted harmonic mean of p$$ p $$‐values is strictly subuniform under several dependence assumptions of p$$ p $$‐values, including independence, negative upper orthant dependence, the class of extremal mixture copulas, and some Clayton ...
Yuyu Chen   +3 more
wiley   +1 more source

On subset least squares estimation and prediction in vector autoregressive models with exogenous variables

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract We establish the consistency and the asymptotic distribution of the least squares estimators of the coefficients of a subset vector autoregressive process with exogenous variables (VARX). Using a martingale central limit theorem, we derive the asymptotic normal distribution of the estimators. Diagnostic checking is discussed using kernel‐based
Pierre Duchesne   +2 more
wiley   +1 more source

T‐calibration in semi‐parametric models

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract This article relates the calibration of models to the consistent loss functions for the target functional of the model. Correctly specified models are calibrated. Conversely, we demonstrate that if there is a parameter value that is optimal under all consistent loss functions, then a model is calibrated.
Anja Mühlemann, Johanna Ziegel
wiley   +1 more source

Asymptotic independence in more than two dimensions and its implications on risk management

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract In extreme value theory, the presence of asymptotic independence signifies that joint extreme events across multiple variables are unlikely. Although well understood in a bivariate context, the concept remains relatively unexplored when addressing the nuances of simultaneous occurrence of extremes in higher dimensions.
Bikramjit Das, Vicky Fasen‐Hartmann
wiley   +1 more source

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