Results 271 to 280 of about 1,705,638 (353)

Variance Matrix Priors for Dirichlet Process Mixture Models With Gaussian Kernels

International Statistical Review, EarlyView.
Summary Bayesian mixture modelling is widely used for density estimation and clustering. The Dirichlet process mixture model (DPMM) is the most popular Bayesian non‐parametric mixture modelling approach. In this manuscript, we study the choice of prior for the variance or precision matrix when Gaussian kernels are adopted.
Wei Jing, Michail Papathomas, Silvia Liverani   +2 more
wiley   +1 more source

Carroll-Schrödinger equation as the ultra-relativistic limit of the tachyon equation. [PDF]

Sci Rep
Najafizadeh M.
europepmc   +1 more source

A Comparative Review of Specification Tests for Diffusion Models

International Statistical Review, EarlyView.
Summary Diffusion models play an essential role in modelling continuous‐time stochastic processes in the financial field. Therefore, several proposals have been developed in the last decades to test the specification of stochastic differential equations.
A. López‐Pérez, D. Diz‐Castro, M. Febrero‐Bande, W. González‐Manteiga   +3 more
wiley   +1 more source

A Multi-Sensor Fusion Underwater Localization Method Based on Unscented Kalman Filter on Manifolds. [PDF]

Sensors (Basel)
Wang Y, Xie C, Liu Y, Zhu J, Qin J.
europepmc   +1 more source

Medical Knowledge Integration Into Reinforcement Learning Algorithms for Dynamic Treatment Regimes

International Statistical Review, EarlyView.
Summary The goal of precision medicine is to provide individualised treatment at each stage of chronic diseases, a concept formalised by dynamic treatment regimes (DTR). These regimes adapt treatment strategies based on decision rules learned from clinical data to enhance therapeutic effectiveness.
Sophia Yazzourh, Nicolas Savy, Philippe Saint‐Pierre, Michael R. Kosorok   +3 more
wiley   +1 more source

Constructing Dynamical Symmetries for Quantum Computing: Applications to Coherent Dynamics in Coupled Quantum Dots. [PDF]

Nanomaterials (Basel)
Hamilton JR, Levine RD, Remacle F.
europepmc   +1 more source

Understanding Nurses' Intention to Use Artificial Intelligence Technologies in Their Clinical Practice: A Survey‐Based Configurational Analysis

Journal of Advanced Nursing, EarlyView.
ABSTRACT Aims The study focused on nurses' familiarity with, beliefs about, and attitudes towards artificial intelligence, aiming to identify configurations of necessary and sufficient conditions associated with strong intentions to use artificial intelligence‐based health technologies in their clinical practice. Design Cross‐sectional survey conducted
Louis Raymond, Guy Paré, Odette Doyon, Gerit Wagner   +3 more
wiley   +1 more source

Firm Disclosures, Uncertain Profits, and (Indirectly) Priced Idiosyncratic Volatility

Journal of Business Finance &Accounting, EarlyView.
ABSTRACT We show that the negative relation between idiosyncratic volatility (IVOL) and expected returns exists only among firms with low profitability and high uncertainty about profitability. We propose an incomplete information model in which agents cannot disentangle systematic from idiosyncratic shocks.
Xuhui (Nick) Pan, Bharat Raj Parajuli, Petra Sinagl   +2 more
wiley   +1 more source

Lie symmetries in higher dimensional charged radiating stars. [PDF]

Heliyon
Naidoo N, Maharaj SD, Govinder KS.
europepmc   +1 more source

Sensemaking of Process Data from Evaluation Studies of Educational Games: An Application of Cross‐Classified Item Response Theory Modeling

Journal of Educational Measurement, EarlyView.
Abstract Process information collected from educational games can illuminate how students approach interactive tasks, complementing assessment outcomes routinely examined in evaluation studies. However, the two sources of information are historically analyzed and interpreted separately, and diagnostic process information is often underused.
Tianying Feng, Li Cai
wiley   +1 more source