Results 91 to 100 of about 22,118,555 (377)

Precision bootstrap for the N $$ \mathcal{N} $$ = 1 super-Ising model

Journal of High Energy Physics, 2022
In this note we report an improved determination of the scaling dimensions and OPE coefficients of the minimal supersymmetric extension of the 3d Ising model using the conformal bootstrap. We also show how this data can be used as input to the Lorentzian
Alexander Atanasov, Aaron Hillman, David Poland, Junchen Rong, Ning Su   +4 more
doaj   +1 more source

Relative errors for bootstrap approximations of the serial correlation coefficient

, 2013
We consider the first serial correlation coefficient under an AR(1) model where errors are not assumed to be Gaussian. In this case it is necessary to consider bootstrap approximations for tests based on the statistic since the distribution of errors is ...
Field, Chris, Robinson, John
core   +1 more source

Serum Soluble Mediator Signatures of Lupus Nephritis: Histologic Features and Response to Treatment

Arthritis Care &Research, EarlyView.
Objective Lupus nephritis (LN) management remains challenging, and novel noninvasive biomarkers are needed. This study quantified serum soluble mediators in the Accelerating Medicines Partnership (AMP) LN cohort to identify biomarkers of histologic features and treatment response.
Andrea Fava, Catriona A. Wagner, Carla J. Guthridge, Susan Macwana, Wade DeJager, Melissa E. Munroe, Peter Izmirly, H. Michael Belmont, Betty Diamond, Anne Davidson, Paul J. Utz, Michael H. Weisman, Philip M. Carlucci, Maria Dall'Era, Kenneth Kalunian, Chaim Putterman, Jennifer Anolik, Jennifer L. Barnas, David Wofsy, Diane Kamen, Richard A. Furie, Deepak A. Rao, the Accelerating Medicines Partnership Rheumatoid Arthritis and Systemic Lupus Erythematosus Network, Chun‐Hao Lee, Derek Fine, Manny Monroy‐Trujillo, Ummara Shah, Mariko Ishimori, Robert M. Clancy, Michael Belmont, Ming Wu, Nicole Bornkamp, Evan Der, Beatrice Goilav, Nicole Jordan, Daniel Schwartz, James Pullman, David Wofsy, Dawn Smilek, Patti Tosta, Matthias Kretzler, Celine C. Berthier, E. Steve Woodle, Dave Hildeman, Michael Brenner, Michelle Petri, Joel M. Guthridge, Jill Buyon, Judith A. James   +48 more
wiley   +1 more source

Chain ladder method: Bayesian bootstrap versus classical bootstrap

, 2009
The intention of this paper is to estimate a Bayesian distribution-free chain ladder (DFCL) model using approximate Bayesian computation (ABC) methodology.
Peters, Gareth W., Shevchenko, Pavel V., Wüthrich, Mario V.   +2 more
core   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Estimating animal density using the Space‐to‐Event model and bootstrap resampling with motion‐triggered camera‐trap data [PDF]

, 2023
Arnaud Lyet, Scott J. Waller, Thierry Chambert, Pelayo Acevedo, Eric J. Howe, Hjalmar S. Kühl, Robin Naidoo, Timothy G. O’Brien, Pablo Palencia, Svetlana V. Soutyrina, Joaquín Vicente, Oliver R. Wearn, Thomas N. E. Gray   +12 more
openalex   +1 more source

Middle- and Long-Term Streamflow Forecasting and Uncertainty Analysis Using Lasso-DBN-Bootstrap Model

Water resources management, 2021
H. Chu, Jiahua Wei, Yuan Jiang
semanticscholar   +1 more source

On Splitting Training and Validation Set: A Comparative Study of Cross-Validation, Bootstrap and Systematic Sampling for Estimating the Generalization Performance of Supervised Learning

Journal of Analysis and Testing, 2018
Model validation is the most important part of building a supervised model. For building a model with good generalization performance one must have a sensible data splitting strategy, and this is crucial for model validation.
Yun Xu, R. Goodacre
semanticscholar   +1 more source

Ultra‐Improved Interfacial Strength Between Metallic Surface and Polyurethane via Cost‐Effective Anodizing Process

Advanced Materials Interfaces, EarlyView.
SAA significantly enhanced Al/PU bonding, increasing SLSS by up to 920% and fracture energy by 15 100% through optimized micro‐nano porous surfaces. RSM identified the optimal anodizing conditions, while ML confirmed sulfuric acid concentration and roughness as dominant predictors of strength.
Umut Bakhbergen, Sherif Araby, Zhandos Tauanov, Nursultan Turdakyn, Reza Montazami, Fethi Abbassi, Gulnur Kalimuldina   +6 more
wiley   +1 more source

TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications

Advanced Robotics Research, EarlyView.
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince, Sheeraz Athar, Pokuang Zhou, Yu She   +3 more
wiley   +1 more source