Results 241 to 250 of about 527,420 (298)

Scaled Process Priors for Bayesian Nonparametric Estimation of the Unseen Genetic Variation. [PDF]

J Am Stat Assoc
Camerlenghi F, Favaro S, Masoero L, Broderick T.   +3 more
europepmc   +1 more source

Compound Meteorological and Hydrological Hot‐Dry and Hot‐Wet Extremes Over Global Land Areas: Spatiotemporal Changes, Attribution, and Drivers

International Journal of Climatology, Volume 46, Issue 14, 30 November 2026.
The changes in joint return period of compound meteorological hot‐dry (CMHHE) and hot‐wet (CMHWE) and compound hydrological hot‐dry (CHHDE) and hot‐wet (CHHWE) extremes were attributed to changes in associated univariate extremes and their dependence.
Ruting Yang, Silong Zhang, Xiongpeng Tang, Chao Gao, Haibin Zhang, Xin Yin, Yanli Liu   +6 more
wiley   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, Volume 45, Issue 7, Page 3170-3190, November 2026.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source

Assessment of Cerebral Perfusion Asymmetry in Chronic Migraine Patients Using Intravoxel Incoherent Motion (IVIM)–Derived Pseudodiffusion Coefficient and Perfusion Fraction

NMR in Biomedicine, Volume 39, Issue 11, November 2026.
ROI‐based quantitative IVIM‐DWI analysis demonstrated significantly greater interhemispheric asymmetry of the composite perfusion parameter fD* in the posterior thalamus in chronic migraine during the interictal phase compared with control subjects. In contrast, pain‐implicated cortical loci showed no significant interhemispheric perfusion asymmetry ...
Yunus Emre Senturk, Ahmet Peker, Sabahattin Yuzkan, Huseyin Ekin Ergin, Eser Bulus, Mohammed Salman Shazeeb   +5 more
wiley   +1 more source

A Bayesian nonparametric approach to causal inference on quantiles. [PDF]

Biometrics, 2018
Xu D, Daniels MJ, Winterstein AG.
europepmc   +1 more source

Machine Learning and Structural Analysis for Generation‐Wise Selection of Perylene Diimide Dendrimers Based on Topological Compatibility With Drug Molecules

ChemistryOpen, Volume 15, Issue 11, November 2026.
Machine learning and graph‐theoretic descriptors are integrated to evaluate topology‐based compatibility between perylene diimide‐core dendrimer generations and antiviral, antioxidant, and imaging agents. Standardized structural similarity reveals generation‐dependent compatibility patterns, while Gaussian process regression uncovers key structure ...
Zainab Bibi, Jabbar Ali, Sana Irshad, Muhammad Saad Ghafar, Yasir Ali, Yilun Shang   +5 more
wiley   +1 more source

High‐Dimensional Cumulative Sum Control Charts for Industrial Measurement Systems

Quality and Reliability Engineering International, Volume 42, Issue 7, Page 4342-4361, November 2026.
ABSTRACT High dimensional sensing in modern factories and energy assets produces thousands of correlated signals. Detecting small process shifts is challenging because many classical multivariate charts lose power or become unstable. We present two cumulative sum procedures for two sample monitoring that remain effective when the number of variables is
Osama Alhadi, Tahir Mahmood, Muhammad Riaz, Nasir Abbas   +3 more
wiley   +1 more source

A Bayesian Nonparametric Approach to Single Molecule Förster Resonance Energy Transfer. [PDF]

J Phys Chem B, 2019
Sgouralis I, Madaan S, Djutanta F, Kha R, Hariadi RF, Pressé S.   +5 more
europepmc   +1 more source

Bayesian Methods Incorporating Baseline Covariates for Borrowing Historical Control Data in Randomized Clinical Trials: A Neutral Comparison Study

Statistics in Medicine, Volume 45, Issue 25-27, November 2026.
ABSTRACT The idea of leveraging historical control data in randomized clinical trials (RCTs) has gained a lot of attention, in particular for rare disease and pediatric indications where conducting traditional and fully powered RCTs can be challenging.
David Jesse, Diane Uschner, Markus C. Elze, Tim Friede, Francois Mercier   +4 more
wiley   +1 more source