Results 171 to 180 of about 53,357 (294)
Approximations and Limit Theorems for Discrete-Time Occupancy Processes
Liam Hodgkinson +2 more
openalex +1 more source
Limit Theorems for a Triangular Scheme of $U$-Statistics with Applications to Inter-Point Distances [PDF]
S. Rao Jammalamadaka, Svante Janson
openalex +1 more source
A Guide to Bayesian Optimization in Bioprocess Engineering
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska +5 more
wiley +1 more source
Mathematical Analysis for a Class of Stochastic Copolymerization Processes. [PDF]
Anderson DF, Ma J, Gagrani P.
europepmc +1 more source
ABSTRACT Investors have long recognized the importance of firms in promoting sustainability, leading to the rise of socially responsible investment (SRI). Specifically, there is a growing preference for exchange‐traded funds (ETFs) that prioritize environmental, social, and governance (ESG) principles.
Sandra Tenorio‐Salgueiro +3 more
wiley +1 more source
Hyperbolic P ( Φ ) 2 -model on the Plane. [PDF]
Oh T, Tolomeo L, Wang Y, Zheng G.
europepmc +1 more source
This study introduces a newly discovered oxide path mechanism (OPM) for the oxygen evolution reaction (OER), emphasizing the role of in‐situ and operando characterization techniques in unraveling catalyst behavior under realistic conditions. The integration of advanced spectroscopic methods provides new mechanistic insights for the design of highly ...
Rabia Khalid +4 more
wiley +1 more source
Existence of variational solutions to doubly nonlinear systems in nondecreasing domains. [PDF]
Schätzler L +3 more
europepmc +1 more source
Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches
ABSTRACT Machine learning (ML) models are increasingly used in quantum chemistry, but their reliability hinges on uncertainty quantification (UQ). In this study, we compare two prominent UQ paradigms—deep evidential regression (DER) and deep ensembles—on the QM9 and WS22 datasets, with a specific emphasis on the role of post hoc calibration.
Bidhan Chandra Garain +3 more
wiley +1 more source
The Capacity Gains of Gaussian Channels with Unstable Versus Stable Autoregressive Noise. [PDF]
Charalambous CD +3 more
europepmc +1 more source

