Suchergebnisse - "CAUSAL models"

Assessing causality among topics and sentiments: The case of the G20 discussion on Twitter.

Autoren: Fonseca, Mauro Delbianco, Fernando Maguitman, Ana et al.

Quelle: Journal of Information Science. Oct2025, Vol. 51 Issue 5, p1017-1032. 16p.

Schlagwörter: CAUSAL models, CAUSATION (Philosophy), SOCIAL media, DISCOURSE, STOCHASTIC dominance, ATTITUDE (Psychology), GROUP of Twenty countries

Firma/Körperschaft: GROUP of Twenty

Reviews & Products: TWITTER (Web resource)

Causal Structure Representation Learning of Unobserved Confounders in Latent Space for Recommendation.

Autoren: Xu, Hangtong Xu, Yuanbo Li, Chaozhuo et al.

Quelle: ACM Transactions on Information Systems. Nov2025, Vol. 43 Issue 6, p1-29. 29p.

Schlagwörter: *RECOMMENDER systems, CAUSAL models, WEATHER, NOISE

Causal Factor Analysis is a Necessary Condition for Investment Efficiency.

Autoren: López de Prado, Marcos Lipton, Alexander Zoonekynd, Vincent

Quelle: Journal of Portfolio Management. Nov2025, Vol. 52 Issue 1, p7-19. 13p.

Schlagwörter: *PORTFOLIO management (Investments), *RISK-return relationships, *ASSET management, *CAPITAL allocation, CAUSAL models, CAUSATION (Philosophy)

Identification of Spatial Spillovers: Do's and Don'ts.

Autoren: Debarsy, Nicolas Le Gallo, Julie

Quelle: Journal of Economic Surveys. Dec2025, Vol. 39 Issue 5, p2152-2173. 22p.

Schlagwörter: *BEST practices, *MATHEMATICAL models, *SPACE in economics, CAUSAL models, RESEARCH evaluation, SPATIAL behavior

Collapsibility of the Conditional Models of CG‐Graphical Models.

Autoren: Xie, Xiangdong Guo, Jianhua He, Shiyuan

Quelle: Scandinavian Journal of Statistics. Dec2025, Vol. 52 Issue 4, p1735-1762. 28p.

Schlagwörter: *STOCHASTIC models, CAUSAL models, MODEL theory

Necessary condition analysis: New applications for market researchers.

Autoren: Garver, Michael S

Quelle: International Journal of Market Research; Nov2025, Vol. 67 Issue 6, p668-678, 11p

Schlagwörter: MARKETING research, KANO model (Product management), DEPENDENT variables, INDEPENDENT variables, CAUSAL models, RESEARCH methodology

Scientific Research Methodology and Experimental Design in Education and Language Learning Studies: Basics and Guidelines

Autoren: Mahmoud M. S. Abdallah (ORCID 0000-0001-6567-7651)

Quelle: Online Submission. 2025.

Peer Reviewed: N

Page Count: 50

Descriptors: Scientific Research, Research Methodology, Research Design, Second Language Learning, English (Second Language), Causal Models, Scientific Methodology, Science Process Skills, Validity, Ethics, Test Construction, Statistical Analysis

Mapping Online Engagement: A DEMATEL-Based Analysis of Instructor Perspectives.

Autoren: Aldowah, Hanan Al-Samarraie, Hosam Rehman, Shafiq Ul et al.

Quelle: International Journal of Information Technology & Decision Making. Sep2025, p1-41. 41p.

Schlagwörter: *LEARNING management system, STUDENT engagement, CAUSAL models, EDUCATION research, EVALUATION methodology, INSTRUCTIONAL systems design, ACADEMIC ability

Instrumenting While Experimenting: An Empirical Method for Competitive Pricing at Scale.

Autoren: Jiang, Zhaohui Li, Jun

Quelle: Operations Research. Sep/Oct2025, Vol. 73 Issue 5, p2477-2495. 19p.

Schlagwörter: *ELECTRONIC commerce, *ECONOMIC demand, *DECISION making, *TIME-based pricing, CAUSAL models

Geografische Kategorien: UNITED States

Ruling out Latent Time-Varying Confounders in Two-Variable Multi-Wave Studies.

Autoren: Kenny, David A. McCoach, D. Betsy

Quelle: Multivariate Behavioral Research. Sep/Oct2025, Vol. 60 Issue 5, p973-989. 17p.

Schlagwörter: CONFOUNDING variables, CAUSAL models, STATISTICAL models, RESEARCH methodology, LONGITUDINAL method

Interview with Marcos López de Prado of Abu Dhabi Investment Authority (ADIA).

Autoren: Fabozzi Editor, Frank J. (AUTHOR)

Quelle: Journal of Portfolio Management. 2025 Portfolio Manager Perspectives, Vol. 51 Issue 8, p67-73. 7p.

Schlagwörter: *QUANTITATIVE research, *INVESTMENT policy, MACHINE learning, CAUSAL models

Firma/Körperschaft: ABU Dhabi (United Arab Emirates). Investment Authority

On the interchangeability of presentation order for cause and effect: Experimental tests of cue and outcome-density effects.

Autoren: Shankar, Sahana Byrom, Nicola van Tilburg, Wijnand A P et al.

Quelle: Quarterly Journal of Experimental Psychology. Sep2025, Vol. 78 Issue 9, p1892-1908. 17p.

Schlagwörter: CAUSAL models, ASSOCIATIVE learning, CAUSATION (Philosophy), SCIENTIFIC observation

Robustify and tighten the Lee bounds: a sample selection model under stochastic monotonicity and symmetry assumptions.

Autoren: Okamoto, Yuta¹ (AUTHOR)

Quelle: Econometrics Journal. Sep2025, Vol. 28 Issue 3, p482-501. 20p.

Schlagwörter: *MATHEMATICAL statistics, *EMPIRICAL research, MONOTONIC functions, CAUSAL models, SAMPLING (Process)

TV-CCANM: a transformer variational inference in confounding cascade additive noise model for causal effect estimation.

Autoren: Ahmad, Sohail Wang, Hong

Quelle: Journal of Statistical Computation & Simulation. Sep2025, Vol. 95 Issue 14, p3048-3076. 29p.

Schlagwörter: CAUSAL inference, CAUSAL models

Estimating heterogeneous effects in static binary response panel data models.

Autoren: Semykina, Anastasia¹ (AUTHOR) anastasia.semykina@rmit.edu.au

Quelle: Econometric Reviews. 2025, Vol. 44 Issue 8, p1209-1233. 25p.

Schlagwörter: *JOB satisfaction, *MONTE Carlo method, *STATISTICAL sampling, TREATMENT effect heterogeneity, CAUSAL models, PANEL analysis, GENDER differences (Sociology)

Named Entity Recognition Model with Counterfactual Mechanism to Enhance Vocabulary.

Autoren: Wang, Yanhong Lei, Songze Liu, Bo

Quelle: Journal of Intelligent & Fuzzy Systems. Sep2025, Vol. 49 Issue 3, p850-867. 18p.

Schlagwörter: *DATA mining, COUNTERFACTUALS (Logic), CAUSAL models, MEDICAL databases, SUPERVISED learning, LEXICON

Meta simulation approach for evaluating machine learning method selection in data limited settings.

Autoren: Alwash, Mostafa Al Hajj, Ghadi S. Grytten, Ivar et al.

Quelle: Scientific Reports. 11/19/2025, Vol. 15 Issue 1, p1-17. 17p.

Schlagwörter: *MACHINE learning, *CAUSAL models, *CALIBRATION, *MEDICAL care, *BENCHMARK problems (Computer science), *COMPUTER simulation

The mathematical machinery of causal inference: from data to decision advantage.

Autoren: Elin, Stephen Matthew (AUTHOR) stephen.elin@pm.me

Quelle: Intelligence & National Security. Nov2025, p1-31. 31p. 24 Illustrations.

Schlagwörter: *CAUSAL inference, *CAUSAL models, *OPERATIONS research, *QUANTITATIVE research, *EMPIRICAL research, *PATTERN perception

Rigorous policy measurement: causal inference challenges and opportunities.

Autoren: Schnake-Mahl, Alina Roux, Ana V Diez Bilal, Usama et al.

Quelle: American Journal of Epidemiology. Nov2025, Vol. 194 Issue 11, p3099-3105. 7p.

Schlagwörter: *GOVERNMENT policy, *CAUSAL models, *HEALTH, *INFORMATION resources, *MISINFORMATION, *POPULATION geography, *MEASUREMENT errors, *HEALTH equity, *QUALITY assurance, *EPIDEMIOLOGICAL research, *RELIABILITY (Personality trait)

外生干预与可逆流驱动的弱监督因果表征学习模型.

Alternate Title: Weakly-supervised causal representation learning model driven by exogenous intervention and invertible flow.

Autoren: 张起荣 王彪

Quelle: Application Research of Computers / Jisuanji Yingyong Yanjiu. Nov2025, Vol. 42 Issue 11, p3340-3347. 8p.

Schlagwörter: *CAUSAL models, *COUNTERFACTUALS (Logic), *BIG data, *MATHEMATICS, *CAUSATION (Philosophy), *MACHINE learning, *SUPERVISED learning