Results 71 to 80 of about 3,968,586 (305)

Classifier-Based Nonparametric Sequential Hypothesis Testing

CoRR
We consider the problem of constructing sequential power-one tests where the null and alternative classes are specified indirectly through historical or offline data. More specifically, given an offline dataset consisting of observations from $L+1$ distributions $\{P_0, P_1, \ldots, P_L\}$, and a new unlabeled data stream $\{X_t: t \geq 1\} \overset{i ...
Chia-Yu Hsu, Shubhanshu Shekhar
openaire   +2 more sources

Testing for symmetric error distribution in nonparametric regression models [PDF]

For the problem of testing symmetry of the error distribution in a nonparametric regression model we propose as a test statistic the difference between the two empirical distribution functions of estimated residuals and their counterparts with opposite ...
Neumeyer, Natalie, Dette, Holger
core  

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

Advancements in Laplace transform techniques: Performing non-parametric hypothesis testing on real-world data through statistical analysis

AIP Advances
This research delves into the exploration of a statistical testing approach grounded in Laplace transform techniques specifically tailored for the New Better than Used Laplace transform order (NBUL) class of life distributions.
M. E. Bakr, A. A. El-Toony, Amani Almohaimeed, A. M. Gadallah   +3 more
doaj   +1 more source

Bandwidth Selection in Nonparametric Kernel Testing [PDF]

We propose a sound approach to bandwidth selection in nonparametric kernel testing. The main idea is to find an Edgeworth expansion of the asymptotic distribution of the test concerned.
Jiti Gao, Irene Gijbels
core  

A nonparametric test of exogeneity [PDF]

, 2004
This paper is concerned with inference about a function g that is identified by a conditional moment restriction involving instrumental variables. The function is nonparametric. It satisfies mild regularity conditions but is otherwise unknown. The paper
Richard Blundell, Joel L. Horowitz, Blundell, R., Horowitz, Joel, Horowitz, J., Blundell, Richard W.   +5 more
core   +1 more source

Dynamic Loading Regulates Meniscus‐Like Matrix Production in Human Mesenchymal Stromal Cell‐Seeded PET Scaffolds

Advanced Healthcare Materials, EarlyView.
Dynamic compression enhances mesenchymal stromal cell proliferation in nonwoven PET scaffolds under chondrogenic differentiation conditions and triggers mechanosensitive transcriptional programs associated with extracellular matrix remodeling. These findings highlight the potential of mechanically stimulated PET scaffolds as a promising platform for ...
Graciosa Quelhas Teixeira, Luisa de Roy, Anna‐Lotta Feldmeier, Mubashir Ahmad, Sofia Pilão, Maria Ahrens, Anita Ignatius, Carsten Linti, Andreas Martin Seitz   +8 more
wiley   +1 more source

Forecast Combinations in the Presence of Structural Breaks: Evidence from U.S. Equity Markets

Mathematics, 2018
Realized volatility, building on the theory of a simple continuous time process, has recently received attention as a nonparametric ex-post estimate of the return variation. This paper addresses the problem of parameter instability due to the presence of
Davide De Gaetano
doaj   +1 more source

Induced Innovation in U.S. Agriculture: Time-series, Direct Econometric, and Nonparametric Tests [PDF]

The hypothesis of induced innovation is tested for U.S. agriculture using a high-quality state-level panel data set and three disparate testing techniques – time series, direct econometric, and nonparametric.
C. Richard Shumway, Yucan Liu
core  

Optimal designs for testing the functional form of a regression via nonparametric estimation techniques [PDF]

, 2000
For the problem of checking linearity in a heteroscedastic nonparametric regression model under a fixed design assumption we study maximin designs which maximize the minimum power of a nonparametric test over a broad class of alternatives from the ...
Stefanie Biedermann, Dette, Holger, Holger Dette, Biedermann, Stefanie   +3 more
core   +1 more source