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Measurement and Timing-LvX3g45ynu8.en.srt MIT6172F18/10. Measurement and Timing-LvX3g45ynu8.en.vtt MIT6172F18/11. Storage Allocation-nmMUUuXhk2A.en.srt MIT6172F18/11. Storage Allocation-nmMUUuXhk2A.en.vtt MIT6172F18/12. Parallel Storage Allocation-d5e_YJGXXFU.en.srt MIT6172F18/12. Parallel Storage Allocation-d5e_YJGXXFU.en.vtt MIT6172F18/13. The Cilk Runtime System-Z7r4aAZ9Vqo.en.srt MIT6172F18/13. The Cilk Runtime System-Z7r4aAZ9Vqo.en.vtt MIT6172F18/14. Caching and Cache-Efficient Algorithms-xDKnMXtZKq8.en.srt MIT6172F18/14. Caching and Cache-Efficient Algorithms-xDKnMXtZKq8.en.vtt MIT6172F18/15. Cache-Oblivious Algorithms-xwE568oVQ1Y.en.srt MIT6172F18/15. Cache-Oblivious Algorithms-xwE568oVQ1Y.en.vtt MIT6172F18/1. Introduction and Matrix Multiplication-o7h_sYMk_oc.en.srt MIT6172F18/1. Introduction and Matrix Multiplication-o7h_sYMk_oc.en.vtt MIT6172F18/20. Speculative Parallelism & Leiserchess-gyaqXwi4BDk.en.srt MIT6172F18/20. 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RES6012Prob/L02.7 Total Probability Theorem-8odFouBR2wE.en.vtt RES6012Prob/L02.8 Bayes' Rule-kz2tvO_ZAKI.en.vtt RES6012Prob/L03.5 Conditional Independence-7B3cDe39lwY.en.vtt RES6012Prob/L04.1 Lecture Overview-poeHeiiiLKI.en.vtt RES6012Prob/L04.2 The Counting Principle--k8WU-KB0rk.en.vtt RES6012Prob/L04.3 Die Roll Example-KrjZyCRi29o.en.vtt RES6012Prob/L04.4 Combinations-o_qO7RYBF10.en.vtt RES6012Prob/L04.6 A Coin Tossing Example-2f9EfEga4Oo.en.vtt RES6012Prob/L04.7 Partitions-hJjiCrdsNV8.en.vtt RES6012Prob/L04.8 Each Person Gets An Ace-IC-pnm6PEGk.en.vtt RES6012Prob/L04.9 Multinomial Probabilities-5A_H1eHbOCY.en.vtt RES6012Prob/L05.10 The Expected Value Rule-gB5TCCfF6e4.en.vtt RES6012Prob/L05.1 Lecture Overview-ArfHGPHL8kU.en.vtt RES6012Prob/L05.7 Geometric Random Variables-whbKmwMmB4s.en.vtt RES6012Prob/L06.1 Lecture Overview-n9FTM9f9A6I.en.vtt RES6012Prob/L06.4 Conditional PMFs & Expectations Given an Event-2_KBeHiUDiY.en.vtt RES6012Prob/L06.5 Total Expectation Theorem-GnEyIawrWBg.en.vtt RES6012Prob/L06.8 Linearity of Expectations & The Mean of the Binomial-TbRh71BMJvw.en.vtt RES6012Prob/L07.3 Conditional Expectation & the Total Expectation Theorem-vJAG4EzSQZA.en.vtt RES6012Prob/L07.7 Independence, Variances & the Binomial Variance-YQ26hzI4OJk.en.vtt RES6012Prob/L08.3 Uniform & Piecewise Constant PDFs-jPB9zI8F7rE.en.vtt RES6012Prob/L08.4 Means & Variances-wOmfOJyxZ6M.en.vtt RES6012Prob/L08.6 Exponential Random Variables-FOFtMqCxZt0.en.vtt RES6012Prob/L09.1 Lecture Overview-G11r4Srh4u8.en.vtt RES6012Prob/L09.2 Conditioning A Continuous Random Variable on an Event-mHj4A1gh_ws.en.vtt RES6012Prob/L13.10 Mean of the Sum of a Random Number of Random Variables-xdewLsXI_UQ.en.vtt RES6012Prob/L13.11 Variance of the Sum of a Random Number of Random Variables-SgM16HNeC3o.en.vtt RES6012Prob/L14.1 Lecture Overview-aNLEnFtWwhg.en.vtt RES6012Prob/L14.4 The Bayesian Inference Framework-0w_4QcvBYII.en.vtt RES6012Prob/L15.3 Estimating a Normal Random Variable in the Presence of Additive Noise-qgICsL7ybWc.en.vtt RES6012Prob/L15.6 Multiple Parameters; Trajectory Estimation-rFUb1nvh3CQ.en.vtt RES6012Prob/L16.7 LMS Estimation with Multiple Observations or Unknowns-jzhFxJflHXQ.en.vtt RES6012Prob/L18.4 The Weak Law of Large Numbers-Yh5bR7X3ch8.en.vtt RES6012Prob/L18.5 Polling-uQTFiXQR4PQ.en.vtt RES6012Prob/L19.5 CLT Examples-pd7dvQBqQqY.en.vtt RES6012Prob/L19.7 Polling Revisited-mxpC3MEiATQ.en.vtt RES6012Prob/L20.2 Overview of the Classical Statistical Framework-fMHJPEcoC08.en.vtt RES6012Prob/L21.8 Merging of Bernoulli Processes-AyCLokHV774.en.vtt RES6012Prob/L22.10 An Example-MvGuBQZZuLM.en.vtt RES6012Prob/L22.4 The Poisson PMF for the Number of Arrivals-tzW5jlfEvwU.en.vtt RES6012Prob/L22.7 Time of the K-th Arrival-6stYmO_N7LI.en.vtt RES6012Prob/L23.7 Random Incidence in the Poisson Process-sG3_Bveu_cA.en.vtt RES6012Prob/L24.1 Lecture Overview-LBiYeL4qD2M.en.vtt RES6012Prob/L24.2 Introduction to Markov Processes-K-ck5dOsPgQ.en.vtt RES6012Prob/L24.3 Checkout Counter Example-VCyJGp6Enxg.en.vtt RES6012Prob/L24.4 Discrete-Time Finite-State Markov Chains-hsQnmrHbbms.en.vtt RES6012Prob/L24.5 N-Step Transition Probabilities-UwwqPwp16_0.en.vtt RES6012Prob/L25.10 Birth-Death Processes - Part I-XKYpKYspe1w.en.vtt RES6012Prob/L25.11 Birth-Death Processes - Part II-KdAsNQVdaNk.en.vtt RES6012Prob/L25.9 Visit Frequency Interpretation of Steady-State Probabilities-c-BLp-585aU.en.vtt RES6012Prob/L26.8 Mean First Passage Time-BW_EHmZf2pM.en.vtt RES6012Prob/S01.0 Mathematical Background Overview--630YTQEuCI.en.vtt RES6012Prob/S01.10 Bonferroni's Inequality-0xuRh3dz_Nc.en.vtt RES6012Prob/S01.8 Countable and Uncountable Sets-MqocbJ-FPo0.en.vtt RES6012Prob/S01.9 Proof That a Set of Real Numbers is Uncountable-YIZd23zGV3M.en.vtt RES6012Prob/S07.1 The Inclusion-Exclusion Formula-WXIU2tK4qtc.en.vtt RES6012Prob/S09.1 Buffon's Needle & Monte Carlo Simulation-KSrPJe7y9oA.en.vtt RES6012Prob/S14.1 The Beta Formula-8yaRt24qA1M.en.vtt S22/580S/L02-0119W22.txt S22/580S/L02-0126W22.txt S22/580S/L03-0202W22.srt.txt S22/580S/L04-0209W22.srt.txt S22/580S/Structured-Wide-Area-Programming.PzGo3w2iqcs.Jayadev-Misra-unity.srt.txt S22/585N/L02.0120R22.srt.txt S22/585N/L03.0125T22.srt.txt S22/591F/L03-0125T22.txt stat110/Lecture-29-Law-of-Large-Numbers-and-Central-Limit-Theorem.OprNqnHsVIA.srt.txt stat110/Lecture-6-Monty-Hall,-Simpson-s-Paradox.fDcjhAKuhqQ.srt.txt