Results 51 to 60 of about 50,721 (144)

Modeling COVID-19 Dynamics in Illinois under Nonpharmaceutical Interventions

Physical Review X, 2020
We present modeling of the COVID-19 epidemic in Illinois, USA, capturing the implementation of a stay-at-home order and scenarios for its eventual release.
George N. Wong, Zachary J. Weiner, Alexei V. Tkachenko, Ahmed Elbanna, Sergei Maslov, Nigel Goldenfeld   +5 more
doaj   +1 more source

Investigation of the relationship between macro-economic variables and tax evasion using nonlinear approaches [PDF]

اقتصاد باثبات
The main purpose of present study is to investigate the relationship between macroeconomic variables and tax evasion using nonlinear approaches. . First of all, it was used Markov Switching Vector Autoregression method, statistics and information from ...
masoumeh motallebi, Mohammad Alizadeh
doaj   +1 more source

Pattern mining and prediction techniques for user behavioral trajectories in e-commerce.

PLoS ONE
The trajectory of a user's continuous online access, which manifests as a sequence of dynamic behaviours during online purchases, constitutes fundamental behavioural data.
Xin Wang, Dong-Feng Liu
doaj   +1 more source

Comparison of multi-state Markov models for cancer progression with different procedures for parameters estimation. An application to breast cancer

Epidemiology, Biostatistics and Public Health, 2013
Background: the knowledge of sojourn time (the duration of the preclinical screen-detectable period) and screening test sensitivity is crucial for understanding the disease progression and the effectiveness of screening programmes.
Leonardo Ventura, Giulia Carreras, Donella Puliti, Eugenio Paci, Marco Zappa, Guido Miccinesi   +5 more
doaj   +1 more source

Comparison of multi-state Markov models for cancer progression with different procedures for parameters estimation. An application to breast cancer

Epidemiology, Biostatistics and Public Health, 2022
Background: the knowledge of sojourn time (the duration of the preclinical screen-detectable period) and screening test sensitivity is crucial for understanding the disease progression and the effectiveness of screening programmes.
Leonardo Ventura , Giulia Carreras, Donatella Puliti, Eugenio Paci, Marco Zappa, Guido Miccinesi   +5 more
doaj  

A Semiparametric Bayesian Approach to Heterogeneous Spatial Autoregressive Models

Entropy
Many semiparametric spatial autoregressive (SSAR) models have been used to analyze spatial data in a variety of applications; however, it is a common phenomenon that heteroscedasticity often occurs in spatial data analysis.
Ting Liu, Dengke Xu, Shiqi Ke
doaj   +1 more source

Bayesian variable order Markov models: Towards Bayesian predictive state representations

, 2009
We present a Bayesian variable order Markov model that shares many similarities with predictive state representations. The resulting models are compact and much easier to specify and learn than classical predictive state representations. Moreover, we show that they significantly outperform a more straightforward Bayesian hierarchical Markov chain model
openaire   +1 more source

Neural barcoding representing cortical spatiotemporal dynamics based on continuous-time Markov chains. [PDF]

Cell Rep Methods
Culp JM, Ashby DM, George AG, Teskey GC, Nicola W, McGirr A.   +5 more
europepmc   +1 more source