Results 271 to 280 of about 114,046 (322)

Testing Hypotheses of Covariate Effects on Topics of Discourse

Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 2, April 2026.
ABSTRACT We introduce an approach to topic modeling with document‐level covariates that remains tractable in the face of large text corpora. This is achieved by de‐emphasizing the role of parameter estimation in an underlying probabilistic model, assuming instead that the data come from a fixed but unknown distribution whose statistical functionals are
Gabriel Phelan, David A. Campbell
wiley   +1 more source

How do core surface flow models vary when inverted from IGRF-14 candidate field models? [PDF]

Earth Planets Space
Rogers HF, Mandea M.
europepmc   +1 more source

Pressure Dependence of Liquid Iron Viscosity From Machine‐Learning Molecular Dynamics

Geochemistry, Geophysics, Geosystems, Volume 27, Issue 4, April 2026.
Abstract We have developed a machine‐learning potential that accurately models the behavior of iron under the conditions of Earth's core. By performing numerous nanosecond scale equilibrium molecular dynamics simulations, the viscosities of liquid iron for the whole outer core conditions are obtained with much less uncertainty.
Kai Luo, Xuyang Long, R. E. Cohen
wiley   +1 more source

On a non-reflexive embedding with birational Gauss map for a projective variety

, 2007
知 深澤
openalex   +1 more source

Fault Friction, Plate Rheology, and Mantle Torques From a Global Dynamic Model of Neotectonics

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 4, April 2026.
Abstract Improvements in software, parallel computing, global data sets, and laboratory flow‐laws help to develop the global Earth5 thin‐shell finite‐element model of Bird et al. (2008, https://doi.org/10.1029/2007jb005460) into a benchmark study. All experiments confirm that modeled faults (other than megathrusts) have low effective friction of 0.085 ±
Peter Bird, Jon Bryan May, Michele M. C. Carafa   +2 more
wiley   +1 more source

A global cross-cultural analysis of string figures reveals evidence of deep transmission and innovation. [PDF]

J R Soc Interface
Kaaronen RO, Walsh MJ, Henrich AK, Wisher I, Miu E, Manninen MA, Eronen JT, Riede F.   +7 more
europepmc   +1 more source

A Model Intercomparison Study to Investigate Mixing Characteristics in Non‐Precipitating Stratocumulus Clouds

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 4, April 2026.
Abstract Recent aircraft observations of marine stratocumulus clouds consistently showed that cloud microphysical relationships vary with altitude, indicating inhomogeneous mixing characteristics near cloud top and homogeneous mixing characteristics in mid‐levels of clouds.
Fan Yang, Kyoung Ock Choi, Kamal Kant Chandrakar, Fabian Hoffmann, Pei Hou, Steve Krueger, Chunsong Lu, Mikhail Ovchinnikov, Yangze Ren, Shin‐ichiro Shima, Peng Wu, Chongzhi Yin, Zeen Zhu, Seong Soo Yum   +13 more
wiley   +1 more source

A Universal Approach to Mie Scatter Correction in FTIR Analysis of Microsized Samples. [PDF]

ACS Omega
Blazhko U, Magnussen E, Solheim J, Dzurendova S, Shapaval V, Kohler A.   +5 more
europepmc   +1 more source

Scissors congruences, I. The Gauss-Bonnet map.

MATHEMATICA SCANDINAVICA, 1981
openaire   +2 more sources

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

Journal of Economic Surveys, Volume 40, Issue 2, Page 915-953, April 2026.
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen, Tord Johan Espe, Kristoffer Grude, Morten Risstad, Rickard Sandberg   +4 more
wiley   +1 more source