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#Maximum Likelihood Estimation

Showing: 45 courses

Logistic Regression

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Learn to predict discrete outcomes using logistic regression, covering coefficients, maximum likelihood, R-squared, p-values, deviance, and practical implementation in R.
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7 Lesons
1 hour 30 minutes
On-Demand
Free-Video
Fields Institute

Parameter Estimation in Mathematical Oncology - Lecture

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Dive into advanced techniques for parameter estimation in mathematical oncology, exploring key concepts and practical applications.
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1 Lesons
1 hour 27 minutes
On-Demand
Free-Video
Computational Genomics Summer Institute CGSI

Using Classical Algorithms for Modern Applications: MCMC for Tail Calculations, EM - Lecture

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Explore classical algorithms applied to modern challenges: MCMC for tail probability estimation and EM for PET reconstruction. Gain insights into innovative adaptations of established methods for cutting-edge problems.
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1 Lesons
29 minutes
On-Demand
Free-Video
statisticsmatt

Maximum Likelihood Estimation

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Comprehensive exploration of Maximum Likelihood Estimation across various probability distributions, including practical applications using R for data generation and parameter estimation.
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25 Lesons
3 hours 30 minutes
On-Demand
Free-Video
statisticsmatt

Parameter Estimation

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Explore various parameter estimation methods, their optimality properties, and key statistical concepts like sufficient statistics, Bayesian estimation, and Fisher's information.
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29 Lesons
5 hours
On-Demand
Free-Video
Statistics is Fun A.H

Maximum Likelihood Estimator Topics

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Explore maximum likelihood estimation for various probability distributions, including gamma, Bernoulli, exponential, and geometric.
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4 Lesons
30 minutes
On-Demand
Free-Video
Professor Knudson

Regression

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Explore point estimation, maximum likelihood, and distribution for regression coefficients, focusing on ordinary least squares and slope estimator analysis.
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7 Lesons
30 minutes
On-Demand
Free-Video
Professor Knudson

Maximum Likelihood Estimation

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Explore maximum likelihood estimation through examples of binomial, Poisson, and uniform distributions, enhancing statistical analysis skills.
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5 Lesons
30 minutes
On-Demand
Free-Video

Actuarial Statistics 1

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Comprehensive coverage of actuarial statistics, including probability distributions, data analysis, and statistical concepts. Includes calculator tutorials and R programming for practical application in actuarial work.
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18 Lesons
9 hours
On-Demand
Free-Video
NPTEL-NOC IITM

Qualitative Response Models: Logit and Types - Part II

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Explore types of qualitative response models, focusing on logit models and their applications in statistical analysis.
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1 Lesons
26 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Qualitative Response Models: Logit and Probit - Part IV

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Explore logit and probit models as examples of qualitative response models, gaining insights into their applications and interpretations.
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1 Lesons
27 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Qualitative Response Models: Logit and Probit - Part III

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Explore logit, probit, and qualitative response models for analyzing categorical data and predicting discrete outcomes.
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1 Lesons
27 minutes
On-Demand
Free-Video
Shaw Talebi

Detecting Power Laws in Real-world Data with Python Code

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Learn to detect power laws in real-world data using Python, covering log-log and maximum likelihood approaches with practical examples using artificial and social media datasets.
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7 Lesons
24 minutes
On-Demand
Free-Video
Institute for Advanced Study

Towards Generalized Schubert Varieties and Anabelian Matroids

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Delve into advanced geometric theories connecting Huh's matroid discoveries with Schubert varieties, exploring applications in statistics and combinatorics through mixed Eulerian numbers.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video

Statistical Inference

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Comprehensive exploration of statistical inference, covering likelihood, hypothesis testing, Bayesian statistics, and non-parametric methods for robust data analysis and decision-making.
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7 Lesons
3 hours 30 minutes
On-Demand
Free-Video
Simons Institute

Recent Progress in High-Dimensional Learning

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Explore recent advancements in high-dimensional learning, covering robust estimation, maximum likelihood, and algorithmic approaches for handling noise and adversarial scenarios.
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22 Lesons
1 hour 7 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Your Dreams May Come True with MTP2 by Caroline Uhler

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Explore multivariate totally positive distributions, their properties, and applications in various fields. Learn about density estimation, ML estimation, and practical uses in portfolio selection and gene networks.
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28 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Fields Institute

Invariant Theory for Maximum Likelihood Estimation

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Explore connections between maximum likelihood estimation and invariant theory stability in log-linear and Gaussian group models, with applications to statistical modeling.
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7 Lesons
38 minutes
On-Demand
Free-Video
NIOS

Linear Regression Analysis and Forecasting

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Learn regression analysis techniques for modeling, hypothesis testing, and forecasting using MINITAB software. Covers simple and multiple linear regression, parameter estimation, diagnostics, and practical applications.
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24 Lesons
12 hours
On-Demand
Free-Video
International Centre for Theoretical Sciences

Statistics for Data Analysis with Exercises - Lecture 3

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Explore advanced statistical methods for data analysis in high-energy physics, focusing on practical applications and exercises to enhance understanding and skills in this specialized field.
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1 Lesons
1 hour 48 minutes
On-Demand
Free-Video
Tom Rocks Maths

How to Be More Productive Using Mathematics

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Discover how mathematical concepts like Poisson distribution and vector calculus can boost your productivity, explained by an Oxford mathematician using real-world applications and advanced modeling techniques.
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1 Lesons
45 minutes
On-Demand
Free-Video
Fields Institute

A Numerical Toolkit for the Likelihood Correspondence

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Explore numerical methods for analyzing likelihood correspondences in statistical models, focusing on applications in enumerative geometry and algebraic statistics.
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1 Lesons
58 minutes
On-Demand
Free-Video
USC Probability and Statistics Seminar

Mean and Location Estimation with Optimal Constants - UW Madison

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Explore advanced statistical techniques for mean and location estimation, focusing on finite sample theories and optimal constants in high-dimensional regimes.
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1 Lesons
59 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Multinomial Regression Model - Part I: Introduction to MRM and Multinomial Logit Model

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Explore multinomial regression models, including types and the multinomial logit model. Learn key concepts and applications in statistical analysis.
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1 Lesons
42 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Maximum Likelihood Estimate for Logistic Regression

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Explore maximum likelihood estimation for logistic regression, covering likelihood functions and gradient descent techniques.
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1 Lesons
10 minutes
On-Demand
Free-Video
UofU Data Science

Probabilistic Graphical Models and Maximum Likelihood Estimation - Lecture 13

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Dive into probabilistic graphical models, exploring likelihood estimation, Gaussian models, and network structures while learning to analyze real-world data using conditional independence concepts.
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13 Lesons
1 hour 21 minutes
On-Demand
Free-Video
UofU Data Science

Bayesian Learning and Maximum Likelihood Methods - Lecture 23

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Explore probabilistic learning criteria through maximum a posteriori and maximum likelihood examples, enhancing your understanding of Bayesian learning fundamentals.
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1 Lesons
36 minutes
On-Demand
Free-Video
UofU Data Science

Logistic Regression - Machine Learning Lecture 25

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Dive into logistic regression classification, exploring maximum likelihood, posterior criteria, and loss minimization principles for effective machine learning model development.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
UofU Data Science

Bayesian Learning: Maximum A Posteriori and Maximum Likelihood - Lecture 24

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Delve into Bayesian learning principles, exploring maximum a posteriori and maximum likelihood learning criteria through practical examples and comprehensive demonstrations.
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1 Lesons
1 hour 6 minutes
On-Demand
Free-Video
UofU Data Science

Bayesian Learning and Maximum Likelihood Methods - Lecture 23

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Explore probabilistic learning criteria through maximum a posteriori and maximum likelihood approaches, with practical examples of Bayesian learning applications.
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1 Lesons
1 hour 6 minutes
On-Demand
Free-Video
UofU Data Science

Logistic Regression - Machine Learning Lecture 24

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Master logistic regression classification through maximum likelihood and maximum a posteriori criteria, building practical skills for effective machine learning model development.
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1 Lesons
43 minutes
On-Demand
Free-Video
UofU Data Science

Machine Learning Foundations - Logistic Regression

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Master logistic regression fundamentals through hands-on practice, exploring core concepts, implementation techniques, and practical applications in machine learning and data analysis.
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1 Lesons
1 hour 19 minutes
On-Demand
Free-Video
UofU Data Science

Maximum Likelihood Estimation for Regression in Machine Learning - Lecture 24

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Dive into maximum likelihood estimation for regression through practical examples and explore its connection to loss minimization in Bayesian learning frameworks.
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1 Lesons
37 minutes
On-Demand
Free-Video
UofU Data Science

Hidden Markov Models - Parameter Estimation and Efficient Inference

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Master parameter estimation and efficient inference techniques for Hidden Markov Models, exploring key algorithms and mathematical foundations for probabilistic sequence modeling and pattern recognition.
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1 Lesons
1 hour
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Wasserstein Distributionally Robust Optimization - Theory and Applications in Machine Learning

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Explore Wasserstein distributionally robust optimization theory and its applications in machine learning, focusing on data-driven decision-making under uncertainty and statistical learning.
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20 Lesons
1 hour 1 minute
On-Demand
Free-Video
MITCBMM

Introduction to Optimization

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Learn optimization techniques for machine learning, including likelihood estimation, gradient descent, and regularization, with practical examples and applications.
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21 Lesons
1 hour 12 minutes
On-Demand
Free-Video
Paul G. Allen School

Statistical Applications of Wasserstein Gradient Flows

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Explore statistical applications of Wasserstein gradient flows in optimal transport, covering Otto calculus, Riemannian structures, and applications to variational inference and Gaussian mixture models.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Probabilistic Methods for Classification - 2009

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Explore probabilistic methods for classification, covering supervised learning, estimation, and advanced models like Naive Bayes, Maximum Entropy, and Conditional Random Fields.
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27 Lesons
1 hour 17 minutes
On-Demand
Free-Video
Society for Industrial and Applied Mathematics

Model Invariants and Functional Regularization

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Explore model invariants and functional regularization in quantitative finance. Learn about regression, MLE, Bayesian estimation, and new approaches to improve model robustness and interpretability in data analysis.
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23 Lesons
50 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Logistic Regression - Continued

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Explore advanced concepts and applications of logistic regression for enhanced predictive modeling and data analysis skills.
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1 Lesons
19 minutes
On-Demand
Free-Video
Georgia Tech Research

Projected Power Method: An Efficient Algorithm for Joint Discrete Assignment - Lecture 3

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Explore an efficient algorithm for joint discrete assignment using projected power method. Learn about low-complexity procedures, optimization techniques, and statistical models for solving discrete assignment problems.
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1 Lesons
46 minutes
On-Demand
Free-Video
USC Probability and Statistics Seminar

Clustering a Mixture of Gaussians with Unknown Covariance - Lecture

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Explore clustering with Gaussian mixtures, focusing on maximum likelihood estimation, Max-Cut solutions, and efficient algorithms. Investigate statistical-computational gaps and challenges in high-dimensional settings.
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22 Lesons
46 minutes
On-Demand
Free-Video
QuICS

Optimized Experiment Design and Analysis for Fully Randomized Benchmarking

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Explore optimized fully randomized benchmarking for quantum gates, offering improved error estimation, flexible analysis, and enhanced experimental protocols in quantum computing.
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1 Lesons
59 minutes
On-Demand
Free-Video
UofU Data Science

Predictive Distribution and Model Comparison in Linear Models - Lecture 12

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Dive into predictive distribution modeling, exploring linear models, binary classification, and logistic regression while mastering maximum molecular estimation techniques.
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9 Lesons
1 hour 19 minutes
On-Demand
Free-Video

Multivariate Statistical Analysis

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Comprehensive exploration of multivariate statistical techniques, covering theory, problem-solving, and implementation in R and Excel. Ideal for data analysis across various fields.
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17 Lesons
13 hours
On-Demand
Free-Video