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🌲 / media_root Talks Intro to statistics

c File Name Size files dur q vq aq Vc Ac Fmt Res fps T Date
-Are Two Distributions the Same? The Chi-Squared Test in Statistics (with Python Example) [63S3FLISKMs].mp411945492531363.42929770096875128vp9aacmov3840x216024mp42025-10-23 04:37:22
-Bayesian Extension to Maximum Likelihood Estimation: Maximum Aposteriori Estimation (MAP) [xgfexqYxrDU].mp4713667950778.0542473377204127vp9aacmov3840x216024mp42025-10-22 17:45:22
-Bayesian Inference: Overview [XCEpIBqKogo].mp412085863241815.84689353245190127vp9aacmov3840x216024mp42025-10-23 15:08:54
-Bayesian Linear Regression [Python Example] [GiIxJ5tqGoE].mp47768653081005.35437661816048128vp9aacmov3840x216024mp42025-10-24 04:50:13
-Bayesian Linear Regression and Maximum Likelihood Estimates [qTRgdhgmFyc].mp49586683201154.75156566416507128vp9aacmov3840x216024mp42025-10-24 04:43:23
-Bayesian Linear Regression and Maximum a Posteriori (MAP) Estimate [wdWHbYdhfG8].mp4758456635916.14331166236489128vp9aacmov3840x216024mp42025-10-23 15:17:25
-Bayesian Updates and Conjugate Priors [GqSX-8AQL90].mp47080746911057.13487553585224127vp9aacmov3840x216024mp42025-10-23 17:59:26
-Bootstrapping and Monte Carlo Sampling in Statistics [wsU7YLcPXmE].mp48954450141018.00925270366903127vp9aacmov3840x216024mp42025-10-22 15:51:52
-Central Limit Theorem Example & Hypothesis Testing [bOrihOzYXWA].mp4424155309572.39510259285794127vp9aacmov3840x216024mp42025-10-21 16:35:35
-Confidence Intervals [qTVdV8ITZfk].mp49519762871016.63927474917357127vp9aacmov3840x216024mp42025-10-21 04:45:14
-Conjugate Priors Example: Normal Distribution and the Exponential Family of Distributions [q8ypTSQotXQ].mp48244105971127.76997758485714127vp9aacmov3840x216024mp42025-10-23 18:07:26
-Consistency of Parameter Estimates in Statistics [27wRPAg3H28].mp4462620409623.96662159315797127vp9aacmov3840x216024mp42025-10-23 04:28:22
-Could Tobacco be Good for you? Two Sided Rejection Regions in Hypothesis Testing [znnim8MTl0c].mp4657828988739.62521571156981127vp9aacmov3840x216024mp42025-10-22 04:44:36
-Density Estimation with Gaussian Mixture Models (GMM) and Empirical Priors [a1pvm1QGXYg].mp47617023071095.4710255625428127vp9aacmov3840x216024mp42025-10-23 18:15:31
-Error in the Method of Moments [341Ecdkfb-s].mp49827371641120.75755170146881127vp9aacmov3840x216024mp42025-10-22 15:43:24
-Hypothesis Testing Example: Salk Vaccine Trial [V3aYG8mLmkI].mp4928825059965.55537476957562127vp9aacmov3840x216024mp42025-10-22 04:39:23
-Hypothesis Testing Procedure [WYifBkNg1r8].mp48908265071080.3083965966463127vp9aacmov3840x216024mp42025-10-21 16:50:59
-Hypothesis Testing Revisited: Normal, t, and Chi-Squared Distribution Tests [u793OrRvZBk].mp4607691304636.38929776397505127vp9aacmov3840x216024mp42025-10-23 14:54:27
-Hypothesis Testing in Statistics [vVDahuv1bq8].mp411962681091494.01832264056272127vp9aacmov3840x216024mp42025-10-21 16:43:22
-Hypothesis Testing: Type I and Type II Errors [129NuU3A7rM].mp4575996046605.97115676047470127vp9aacmov3840x216024mp42025-10-21 16:56:23
-Introduction to Statistics and Data Analysis [QIXUTsdj_oA].mp413159241321340.72018178527718127vp9aacmov3840x216024mp42025-10-20 18:30:43
-Lies, Damn Lies, and Statistics... P-Hacking [Et9pORQHR2A].mp410324640391153.01006871637030127vp9aacmov3840x216024mp42025-10-22 04:50:44
-Maximum Likelihood Estimation (MLE) with Examples [rCdxlN6Ph14].mp411543139731425.72843564776343127vp9aacmov3840x216024mp42025-10-22 17:22:22
-Maximum Likelihood Estimation Example: Fitting a Normal Distribution with Data [x5GOUgCTkjM].mp4774500550952.1806865076373127vp9aacmov3840x216024mp42025-10-22 17:29:44
-Method of Moments to Fit Distributions from Data [IZk0Iq2hI3c].mp4486096875661.55972858785744127vp9aacmov3840x216024mp42025-10-22 04:55:48
-Monte Carlo Sampling and Bootstrapping in Bayesian Inference [f1Vcc-bPfnU].mp47215398521094.37968352745140127vp9aacmov3840x216024mp42025-10-24 04:36:45
-Normal Approximation to Sample Mean [Arbj9SoU9Cs].mp49458887131180.64181464096275127vp9aacmov3840x216024mp42025-10-21 04:39:01
-Parameter Estimation and Fitting Distributions [7XVA2JRzYoE].mp410943078271452.12952460285895127vp9aacmov3840x216024mp42025-10-22 15:34:15
-Population Statistics and Random Sampling [OlkL1YatyHI].mp410933626801424.93895761386004127vp9aacmov3840x216024mp42025-10-20 18:39:52
-Properties of Chi-Squared and Student's t Distributions [so04ygeccwk].mp4568185271609.96498974527318127vp9aacmov3840x216024mp42025-10-23 14:59:27
-Properties of Maximum Likelihood Estimation [QVF0oOh7s8c].mp4706645278839.37814167346601127vp9aacmov3840x216024mp42025-10-22 17:36:56
-Random Sampling Without Replacement (Finite "n" Correction) [IDvp3pMm16k].mp4639400092734.72580569626828127vp9aacmov3840x216024mp42025-10-21 04:27:52
-Random Sampling in Statistics: Expected Value and Variance of the Sample Mean [Gg3d-rn9eEU].mp4902189210966.18231374707336127vp9aacmov3840x216024mp42025-10-20 18:49:22
-Sample Variance in Random Population Sampling [yNnUVHfX5yQ].mp4563363457697.38811864626329127vp9aacmov3840x216024mp42025-10-21 04:31:49
-Student's t-distribution in Statistics [kQoPUR0hQNo].mp4738321234998.2955159165783128vp9aacmov3840x216024mp42025-10-23 14:48:43

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