Computational Statistics & Data Analysis (2009). [2] Studying dietary intake in daily life through multilevel two-part modelling: a novel analytical approach and its practical application.

[4] A Comparison of ML, WLSMV, and Bayesian Methods for Multilevel Structural Equation Models in Small Samples: A Simulation Study. Multivariate Behavioral Research (2016).

Bayesian correlations between PSS, health and well-being variables were assessed. PSS was then modeled as an outcome variable in a series of nested Bayesian multilevel regression models. Results: The ...

Biostatistics development in theoretical and computational methods has grown rapidly in scientific research. Together with ...

Understand how Bayesian statistics differs from classical methods and why this matters. Learn to build, interpret, and assess Bayesian models in R using the brms package. Apply Bayesian regression ...

timeseries forecasting rstats multilevel-models stan bayesian-statistics generalized-additive-models time-series-analysis ecological-modelling generalised-additive-models vector-autoregression ...

Sponsor Star 1.3k Code Issues Pull requests brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan multilevel-models bayesian-inference stan brms r-package ...

This paper deals with the generic modeling of systems of systems (SoSs) using agent-based modeling. SoSs are large-scale systems, including numerous-possibly heterogeneous-interacting component ...

A method for obtaining the Bayesian network (BN) representation of a sensor's measurement process is developed so that the problems of sensor fusion and management can be approached from a unified ...

Objective: To examine the relation between built environment factors (representing several dimensions of urban form of neighbourhoods) and walking activity at both the neighbourhood level and the ...

Study objective: (1) To provide a didactic and conceptual (rather than mathematical) link between multilevel regression analysis (MLRA) and social epidemiological concepts. (2) To develop an ...