Discretised Non-Linear Filtering for Dynamic Latent Variable Models: with Application to Stochastic Volatility [PDF]
Filtering techniques are often applied to the estimation of dynamic latent variable models. However, these techniques are often based on a set assumptions which restrict models to be specified in a linear state-space form.
Adam E. Clements +2 more
core
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy +3 more
wiley +1 more source
Nested Partially-Latent Class Models for Dependent Binary Data; Estimating Disease Etiology [PDF]
The Pneumonia Etiology Research for Child Health (PERCH) study seeks to use modern measurement technology to infer the causes of pneumonia for which gold-standard evidence is unavailable. The paper describes a latent variable model designed to infer from
Deloria-Knoll, Maria +2 more
core +2 more sources
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley +1 more source
Effect of childhood maltreatment on cognitive function and its relationship with personality development and social coping style in major depression disorder patients: A latent class model and network analysis. [PDF]
Wang X +8 more
europepmc +1 more source
Identification of Segments of Thermo Energy Plants with a Latent Class Model [PDF]
This paper identifies different groups in a cost function framework of thermo energy plants belonging to EDP-Electricity of Portugal. In particular, we have clustered the sample - comprising data for years 1987 to 2006 - into two groups.
Carlos Pestana Barros
core
Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing
A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann +8 more
wiley +1 more source
Data Fit Comparison of Mixture Item Response Theory Models and Traditional Models
The purpose of this study is to determine the best IRT model [Rasch, 2PL, 3PL, 4PL and mixed IRT (2 and 3PL)] for the science and technology subtest of the Transition from Basic Education to Secondary Education (TEOG) exam, which is carried out at ...
Seher Yalçın
doaj
The long-term course of knee pain severity in middle and old age: distinct trajectories from latent class growth modelling in population cohort data (the CAS-K study and the osteoarthritis initiative (OAI)) [PDF]
Elaine Nicholls +3 more
openalex +1 more source
Joint latent class model: Simulation study of model properties and application to amyotrophic lateral sclerosis disease. [PDF]
Kyheng M +5 more
europepmc +1 more source

