Concept

Statistical parameter

Related lectures (32)

Explores mixture models in discrete choice and random parameters estimation results.

Mixture Models: Simulation-based Estimation

Explores mixture models, including discrete and continuous mixtures, and their application in capturing taste heterogeneity in populations.

Detecting and Correcting Parameter Errors in Power Grids

Covers the detection and correction of parameter errors in power grids, focusing on statistical properties, error identification, computational efficiency, sensitivity analysis, and robust state estimation.

Detecting and Correcting Parameter Errors in Power Grids

Explores methods for detecting and correcting parameter errors in power grids using statistical analysis and computational tools.

Composite Materials: Bounds and Microstructures

Delves into homogenization in composite materials, deriving rigorous bounds and discussing statistical parameters and microstructures.

Composite Elastic Constants

Covers the derivation of exact results for small strains in composite materials and the implications of experimental data outside these limits.

Generalized Linear Models: GLMs for Non-Gaussian Data

Explores Generalized Linear Models for non-Gaussian data, covering interpretation of natural link function, MLE asymptotic normality, deviance measures, residuals, and logistic regression.

Eigenstate Thermalization Hypothesis

Explores the Eigenstate Thermalization Hypothesis in quantum systems, emphasizing the random matrix theory and the behavior of observables in thermal equilibrium.

Generalized Linear Models: A Brief Review

Provides an overview of Generalized Linear Models, focusing on logistic and Poisson regression models, and their implementation in R.

Graphical Models: Representing Probabilistic Distributions

Covers graphical models for probabilistic distributions using graphs, nodes, and edges.

Hypothesis Testing & Confidence Intervals

Covers hypothesis testing, power, confidence intervals, and small sample considerations.

Personalized Menu Optimization

Explores Bayesian methods in choice modeling for personalized menu optimization and individual choice prediction.

The cross-nested logit model

Explores the cross-nested logit model, defining alternative groups with overlapping memberships and scale parameters for transportation analysis.

Heteroscedasticity: Modeling the Utility Function

Explores heteroscedasticity in nonlinear specifications and the modeling of scale parameters.

Weibull Model: Random Data

Explores the Weibull model's application to random data and its significance in analyzing material strength and failure probability.

Series entières: Définitions

Covers the definition of a power series and its convergence based on the choice of parameter x.

Precipitation and Hydrologic Design

Covers methods to define the design storm, empirical distribution of rainfall maxima, Gumbel distribution, and intensity-duration-frequency relationships.

Taylor Methods and Point Estimates

Explores Taylor methods, point estimates, Monte Carlo methods, and uncertainties in civil engineering.

Debiased Whittle Likelihood: Time Series and Spatial Data

Explores the Debiased Whittle likelihood for time series and spatial data, focusing on fitting spectral density to the periodogram for better predictions and parameter estimation.

Red bus/Blue bus paradox

Explores the Red bus/Blue bus paradox, nested logit models, and multivariate extreme value models in transportation.