Results 101 to 110 of about 66,452 (307)

Mixed normal conditional heteroskedasticity [PDF]

, 2002
Both unconditional mixed-normal distributions and GARCH models with fat-tailed conditional distributions have been employed for modeling financial return data.
Mittnik, Stefan, Haas, Markus, Paolella, Marc S.   +2 more
core  

Repulsive Guidance for Memorization Mitigation in Text-to-Music Diffusion Models

Mathematics
Recent progress in text-to-music generation has enabled high-quality audio synthesis from natural language prompts. However, such models are at risk of unintended replication, raising concerns regarding originality and intellectual property.
Taehyeon Kim, Hangyeol Lee, Chang Wook Ahn, Man-Je Kim   +3 more
doaj   +1 more source

Conditional inference in cis-Mendelian randomization using weak genetic factors. [PDF]

Biometrics, 2023
Patel A, Gill D, Newcombe P, Burgess S.
europepmc   +1 more source

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

Advanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu, Shuli Sun, Zhengliang Lv, Xinyu Liu, Yihua Wang, Bingqiang Liu   +5 more
wiley   +1 more source

"Empirical Likelihood-Based Inference in Conditional Moment Restriction Models" [PDF]

This paper proposes an asymptotically efficient method for estimating models with conditional moment restrictions. Our estimator generalizes the maximum empirical likelihood estimator (MELE) of Qin and Lawless (1994).
Hyungtaik Ahn, Yuichi Kitamura, Gautam Tripathi   +2 more
core  

The Logical Dimension of Argumentation and Its Semantic Appraisal in Bermejo-Luque’s Giving Reasons

Theoria, 2011
We critically examine Bermejo-Luque’s account of the logical dimension of argumentation and its logical or semantic evaluation. Our considerations concern her views on inference claims, validity, logical normativity, warrants, necessity, warrants and the
James B. Freeman
doaj   +1 more source

Using conditional inference to quantify interaction effects of socio-demographic covariates of US COVID-19 vaccine hesitancy. [PDF]

PLOS Glob Public Health, 2023
Shen K, Kejriwal M.
europepmc   +1 more source

Field‐Free Spin‐Splitting‐Torque Driven Stochastic Neuron Mimicking the Neuromorphic Imagination for High‐Performance Recognition

Advanced Science, EarlyView.
The human brain's imagination, which enables autonomous driving hazard avoidance by completing missing visual information, relies on Gaussian‐stochastic neuron. We report the altermagnetic RuO2 spintronic neurons integrating field‐free switching and intrinsic Gaussian stochasticity, building an all‐spin ANN for high‐quality image repairing and high ...
Junwei Zeng, Baoshan Cui, Xi Guo, Jiahao Liu, Xiaoyu Feng, Liang Fang, Li Xi, Xiaolong Fan, Xiaoxi Liu, Yang Guo   +9 more
wiley   +1 more source

Multivariate mixed normal conditional heteroskedasticity [PDF]

We propose a new multivariate volatility model where the conditional distribution of a vector time series is given by a mixture of multivariate normal distributions. Each of these distributions is allowed to have a time-varying covariance matrix.
J.V.K., ROMBOUTS, Luc, BAUWENS, C.M., HAFNER   +2 more
core  

SOME PROPERTIES OF SPATIAL QUANTILES

Acta Universitatis Lodziensis. Folia Oeconomica, 2014
Conditional quantiles are required in various economic, biomedical or industrial problems. Lack of objective basis for ordering multivariate observations is a major problem in extending the notion of quantiles or conditional quantiles (also called ...
Grażyna Trzpiot
doaj