I argue for a principled approach to model fitting in mathematical biology that combines statistical and mechanistic insights.

Active Appearance Models (AAMs) represent the shape and appearance of an object via two low-dimensional subspaces, one for shape and one for appearance. AAMs for facial images are currently receiving considerable attention from the vision community. However, most existing work focuses on fitting AAMs to high-quality facial images. For many applications, effectively fitting an AAM to low-resolut...

We present a statistical perspective on boosting. Special emphasis is given to estimating potentially complex parametric or nonparametric models, including generalized linear and additive models as well as regression models for survival analysis. Concepts of degrees of freedom and corresponding Akaike or Bayesian information criteria, particularly useful for regularization and variable selectio...

Since the 1825 there is Gompertz mortality function for estimation of mortality data. All the attemts of finding apropriate mortality function lead to functions that are not easy to fit with the actual mortality data. The most recent reasearches (Azbel) offer simple function for fit mortality tables. Common characteristic of all these functions are difficulty of fiting data. We need to use nume...

This paper outlines a new method to fit 3D Morphable Models (3DMM’s) from sets of 2D image features. It is the extension of a popular correspondence 3D shape fitting from 2D feature point method which allows it to be applied to video sequences. For shape estimation this paper focuses on strictly linear solutions to the problem of shape fitting to image sequences. In doing so we introduce a Shap...

Well-being has been given special emphasis in quality of life. It involves living a meaningful, life satisfaction, stability and happiness in life. Well-being also concerns the satisfaction of physical, psychological, social needs and demands of an individual. The purpose of this study was to validate three-factor measurement model of well-being using structural equation modeling (SEM). The con...

Active Appearance Model (AAM) represents the shape and appearance of an object via two low-dimensional subspaces, one for shape and one for appearance. AAM for facial images is currently receiving considerable attention from the computer vision community. However, most existing work focuses on fitting an AAM to a single image. For many applications, effectively fitting an AAM to video sequences...

Background: Marketing has for many years been working to reduce environmental concerns by relying on ethics and presenting new marketing ideas such as green marketing. Therefore, the present study aimed to provide a model of the green marketing process in the pharmaceutical industry. Method: This applied research was conducted with a mixed (quantitative - qualitative) approach. In the qualitat...

System identification is a powerful technique for constructing accurate models of complex systems from noisy input-output observations. It mainly consists of three basic steps that are interrelated: 1. design of the experiment; 2. choice of a parametric model (black box or physical laws); 3. the estimation of the model parameters from noisy measurements. According to the intended goal of the id...

Model-based analysis of fMRI data is an important tool for investigating the computational role of different brain regions. With this method, theoretical models of behavior can be leveraged to find the brain structures underlying variables from specific algorithms, such as prediction errors in reinforcement learning. One potential weakness with this approach is that models often have free param...