Results 191 to 200 of about 1,472,346 (301)

State Space Methods in gretl

gretl is a general-purpose econometric package, whose most important characteristic is being free software. This ensures that its source code is freely available under the general public license (GPL) and, like most GPL software, that it can be used free
Riccardo Lucchetti
core  

Embedding population dynamics in mark-recapture models

, 2009
Mark-recapture methods use repeated captures of individually identifiable animals to provide estimates of properties of populations. Different models allow estimates to be obtained for population size and rates of processes governing population dynamics.
Bishop, Jonathan R. B.
core  

A dual-branch network for lesion segmentation in medical images using state space models. [PDF]

Quant Imaging Med Surg
Chen H, Min BW, Zhang H.
europepmc   +1 more source

Dynamic estimation of auditory temporal response functions via state-space models with Gaussian mixture process noise. [PDF]

PLoS Comput Biol, 2020
Miran S, Presacco A, Simon JZ, Fu MC, Marcus SI, Babadi B.   +5 more
europepmc   +1 more source

Cyclic azapeptide CD36 ligand attenuates cardiac injury and reduces long‐chain fatty acid accumulation after myocardial ischemia–reperfusion in mice

FEBS Open Bio, EarlyView.
In a murine model of myocardial ischemia and reperfusion (MI/R), the CD36 azapeptide ligand MPE‐298 reduces cardiac injury and transiently lowers left ventricular long‐chain fatty acids (LCFAs) accumulation 3 h after reperfusion, accompanied by a decrease of oxidative stress and inflammation‐associated genes' expression in the heart and adipose tissue.
Jade Gauvin, Naghme Radmannia, David N. Huynh, Liliane Ménard, Caroline Daneault, Maïté Veilleux, Ahsanullah Ahsanullah, André C. Carpentier, William D. Lubell, Matthieu Ruiz, Huy Ong, Sylvie Marleau, Simon‐Pierre Gravel   +12 more
wiley   +1 more source

State Space Methods in Stata

We illustrate how to estimate parameters of linear state-space models using the Stata program sspace. We provide examples of how to use sspace to estimate the parameters of unobserved-component models, vector autoregressive moving-average models, and ...
David M. Drukker, Richard B. Gates
core  

State Inference in Variational Bayesian

, 2006
Nonlinear source separation can be performed by inferring the state of a nonlinear state-space model. We study and improve the inference algorithm in the variational Bayesian blind source separation model introduced by Valpola and Karhunen in 2002. As
Antti Honkela, Juha Karhunen, Matti Tornio, Tapani Raiko, Nonlinear State-Space Models   +4 more
core  

VISTA-SSM: Varying and irregular sampling time-series analysis via state-space models. [PDF]

Psychol Methods
Brindle B, Hull TD, Malgaroli M, Charon N.   +3 more
europepmc   +1 more source

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

FEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová, Grigorii Rakhalskii, Miroslav Almáši   +2 more
wiley   +1 more source

[Electroencephalogram emotion recognition based on state-space models combined with spatio-temporal feature]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Wang C, Zhang J, Dou J, Wang C, Chang W.
europepmc   +1 more source