Video Lectures, Lecture 5: Discrete Random Variables; Probability Mass Functions; Expectations, Lecture 6: Discrete Random Variable Examples; Joint PMFs, Lecture 7: Multiple Discrete Random Variables: Expectations, Conditioning, Independence, Lecture 9: Multiple Continuous Random Variables, Lecture 10: Continuous Bayes' Rule; Derived Distributions, Lecture 11: Derived Distributions; Convolution; Covariance and Correlation, Lecture 12: Iterated Expectations; Sum of a Random Number of Random Variables, Lecture 21: Bayesian Statistical Inference I, Lecture 22: Bayesian Statistical Inference II, Lecture 23: Classical Statistical Inference I, Lecture 25: Classical Inference III; Course Overview. Home Massachusetts Institute of Technology. Lecture 3: Parametric Inference. The Statistics and Data Science Center is an MIT-wide focal point for advancing research and education programs related to statistics and data science. MIT OpenCourseWare is a free & open publication of material from thousands of MIT courses, covering the entire MIT curriculum. We don't offer credit or certification for using OCW. Lecture 4: Thermodynamics Part 4. The Center’s academic mission is to host and develop new academic programs, from a minor to a PhD in statistics and data science. Lecture 5: Probability Part 1. And hopefully, it will work out well for us. ), Lecture 4: Parametric Inference (cont.) Find materials for this course in the pages linked along the left. » ), Lecture 6: Maximum Likelihood Estimation (cont.) Welcome! The Center was created in 2015 with the goal of formalizing and consolidating efforts in statistics at MIT. » » No enrollment or registration. Lecture 6: Probability Part 2. The rest of the lectures were recorded in Fall 2016, but video of Lecture 1 was not available. and the Method of Moments, Lecture 8: Parametric Hypothesis Testing (cont. Subscribe to this collection. ), Lecture 9: Parametric Hypothesis Testing (cont. Modify, remix, and reuse (just remember to cite OCW as the source. The video for Lecture 1 was recorded in Fall 2017. With more than 2,400 courses available, OCW is delivering on the promise of open sharing of knowledge. ), Learn more at Get Started with MIT OpenCourseWare, MIT OpenCourseWare makes the materials used in the teaching of almost all of MIT's subjects available on the Web, free of charge. Find materials for this course in the pages linked along the left. Probability and Statistics Probability and Statistics. Freely browse and use OCW materials at your own pace. Lecture 3: Thermodynamics Part 3 . Whether you’re a student, a teacher, or simply a curious person that wants to learn, MIT OpenCourseWare (OCW) offers a wealth of insight and inspiration. The video for Lecture 1 was recorded in Fall 2017. Displaying all 16 video lectures. ), Lecture 24: Generalized Linear Models (cont.). ), Learn more at Get Started with MIT OpenCourseWare, MIT OpenCourseWare makes the materials used in the teaching of almost all of MIT's subjects available on the Web, free of charge. But this is an automated system. There will be some video lectures. » Made for sharing. Send to friends and colleagues. The titles reflect content of the lecture notes, which may not completely reflect the sequence of the video lectures. Your use of the MIT OpenCourseWare site and materials is subject to our Creative Commons License and other terms of use. Learn more », © 2001–2018
Electrical Engineering and Computer Science, Probabilistic Systems Analysis and Applied Probability. and Testing Goodness of Fit, Lecture 12: Testing Goodness of Fit (cont. Statistics Lecture 7.4: Confidence Interval for the Sample Mean, Population … ), Lecture 22: Generalized Linear Models (cont. We don't offer credit or certification for using OCW. The videos for Lectures 10 and 16 are not available. Probability and Statistics by Dr.Somesh Kumar,Department of Mathematics,IIT Kharagpur. ), Lecture 23: Generalized Linear Models (cont. Lecture 4: Parametric Inference (cont.) Home Download files for later. Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. Made for sharing. » ), Lecture 11: Parametric Hypothesis Testing (cont.) ), Lecture 20: Principal Component Analysis (cont. Lecture 23: Classical Statistical Inference I. Lecture 24: Classical Inference II. We know that video is important to many learners. Lecture 2: Introduction to Statistics (cont.) Use OCW to guide your own life-long learning, or to teach others. Lecture 2: Introduction to Statistics (cont. With more than 2,400 courses available, OCW is delivering on the promise of open sharing of knowledge. There's no signup, and no start or end dates. MIT OpenCourseWare is a free & open publication of material from thousands of MIT courses, covering the entire MIT curriculum.. No enrollment or registration. Statistics for Applications MIT OpenCourseWare is a free & open publication of material from thousands of MIT courses, covering the entire MIT curriculum. This page lists OCW courses and supplemental resources that contain video and/or audio lectures. This course provides an elementary introduction to probability and statistics with applications. This is one of over 2,200 courses on OCW. Lecture 1: Thermodynamics Part 1. But all of them will be available on Stellar--of course, module technical problems. Lecture 1: Introduction to Statistics. Mathematics » Introduction to Probability and Statistics . Learn more », © 2001–2018
Knowledge is your reward. » Welcome! NPTEL Online Videos, Courses - IIT Video Lectures Well Organized! Use OCW to guide your own life-long learning, or to teach others. NPTEL Video Lectures, IIT Video Lectures Online, NPTEL Youtube Lectures, Free Video Lectures, NPTEL Online Courses, Youtube IIT Videos NPTEL Courses. and Maximum Likelihood Estimation, Lecture 5: Maximum Likelihood Estimation (cont. The rest of the lectures were recorded in Fall 2016, but video of Lecture 1 was not available. Topics include: basic combinatorics, random variables, probability distributions, Bayesian inference, hypothesis testing, confidence intervals, and linear regression. In recent years, OCW has substantially increased its video content. Courses Find materials for this course in the pages linked along the left. Modify, remix, and reuse (just remember to cite OCW as the source. Again, the first one will be posted on OCW from last year. Don't show me this again. This is one of over 2,200 courses on OCW. Lecture 1: Probability and Counting | Statistics 110 - YouTube Lecture 2: Thermodynamics Part 2. Need help getting started? Don't show me this again. Probabilistic Systems Analysis and Applied Probability Lecture Videos. However, the high cost of video production means we can only provide video for select courses. Video Lectures Course Home Syllabus ... Lecture 22: Bayesian Statistical Inference II. Massachusetts Institute of Technology. Your use of the MIT OpenCourseWare site and materials is subject to our Creative Commons License and other terms of use. Knowledge is your reward. Download files for later. The videos for Lectures 10 and 16 are not available. There's no signup, and no start or end dates. This is one of over 2,200 courses on OCW. This is one of over 2,200 courses on OCW. Courses No enrollment or registration. For more details on … Lecture 25: Classical Inference III; Course Overview. Video Lectures. Send to friends and colleagues. Electrical Engineering and Computer Science Don't show me this again . Freely browse and use OCW materials at your own pace. Subscribe to this collection. »