Results 31 to 40 of about 25,451 (177)

Pranab Kumar Sen: Life and works

, 2008
In this article, we describe briefly the highlights and various accomplishments in the personal as well as the academic life of Professor Pranab Kumar Sen.Comment: Published in at http://dx.doi.org/10.1214/193940307000000013 the IMS Collections (http://
Balakrishnan, N., Peña, Edsel A., Silvapulle, Mervyn J.   +2 more
core   +1 more source

Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy

Advanced Intelligent Discovery, EarlyView.
Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang, Andrew Bai, Alexandra Bermudez, Yunqi Hong, Zoe Latham, Iris Sloan, Michael Liu, Vishrut Goyal, Cho‐Jui Hsieh, Neil Y. C. Lin   +9 more
wiley   +1 more source

Testing serial independence using the sample distribution function [PDF]

, 1993
This paper presents and discusses a nonparametric test for detecting serial dependence. We consider a Cramèr-v.Mises statistic based on the difference between the joint sample distribution and the product of the marginals.
Delgado, Miguel A.
core   +1 more source

Model‐informed drug development to support nemolizumab clinical development in adults and adolescents with moderate to severe atopic dermatitis

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aims Population pharmacokinetic (popPK) and pharmacokinetic‐pharmacodynamic (PK/PD) models were developed to support clinical development of nemolizumab, a humanized monoclonal antibody targeting the IL‐31 receptor α, in adolescents and adults with moderate‐to‐severe atopic dermatitis (AD).
Floris Fauchet, Anna Largajolli, Petra M. Jauslin, Emilie Schindler, Mourad Hamimed, Wannee Kantasiripitak, Antonio Gonçalves, Eline Van Maanen, Khaled Benkali, Tomohisa Saito, Jonathan I. Silverberg, Andreas Wollenberg, Michael Graeber, Liliana Ulianov, Christophe Piketty, Luca Loprete, Vincent Duval, Nathalie Wagner   +17 more
wiley   +1 more source

Systematic review and scoring‐based selection of pharmacokinetic models for precision dosing of vancomycin in neonates and children

British Journal of Clinical Pharmacology, EarlyView.
This systematic review identified 112 population pharmacokinetic models of vancomycin in neonates and children. To support rational model selection for model‐informed precision, we developed and applied expert‐driven, transparent criteria that integrate both methodological rigour and clinical relevance.
Zoë Vander Elst, Pieter‐Jan Spiessens, Dorian Vanneste, Nada Dia, Matthias Gijsen, Isabel Spriet, Karel Allegaert, Erwin Dreesen, Anne Smits   +8 more
wiley   +1 more source

Population Pharmacokinetics of Ticagrelor during Veno‐Arterial ECMO in Acute Coronary Syndrome: Model‐Informed Dosing Simulations

Clinical Pharmacology &Therapeutics, EarlyView.
Although patients with acute coronary syndrome supported by veno‐arterial extracorporeal membrane oxygenation (VA‐ECMO) have a high risk of thrombosis and bleeding, antiplatelet pharmacology in this setting is not well defined. This prospective observational study investigated the population pharmacokinetics of ticagrelor and its active metabolite AR ...
Soyoung Kang, Kyoung Lok Min, Seungwon Yang, Jongsung Hahn, Dasohm Kim, Byung Hak Jin, Soon Uk Chae, Soo Kyung Bae, Jin Wi, Min Jung Chang   +9 more
wiley   +1 more source

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini, Shaghayegh Karimzadeh, Paulo B. Lourenço   +2 more
wiley   +1 more source

Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer, Kristofer Månsson, Pär Sjölander, Gazi Salah Uddin   +3 more
wiley   +1 more source

Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now

Journal of Forecasting, EarlyView.
ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley   +1 more source

A novel estimator for the two-way partial AUC

BMC Medical Informatics and Decision Making
Background The two-way partial AUC has been recently proposed as a way to directly quantify partial area under the ROC curve with simultaneous restrictions on the sensitivity and specificity ranges of diagnostic tests or classifiers.
Elias Chaibub Neto, Vijay Yadav, Solveig K. Sieberts, Larsson Omberg   +3 more
doaj   +1 more source