Searches titles below, use an * (asterisk) for any character
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Important Tables and FAQ ... lessons ... min of video
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General Info ...
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How to Prepare (15:41)
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TIA Problem System (7:45)
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TIA Discussion Forum (5:58)
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Video Player Keyboard Shortcuts (handout)
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You Failed, Now What? (12:00)
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Key Course Handouts ...
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Exam Distribution Tables (handout)
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Exam STAM Syllabus (handout)
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Notation and Terminology Note (handout)
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STAM-A. Loss Models ... lessons ... min of video
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A.1 Probability Review ...
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A.1.2 Moments (sample) (21:25)
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A.1.6 Mixtures (sample) (16:44)
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A.2 Key Continuous Distributions ...
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A.3 Severity Models ...
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A.3.1 Scale Parameters (13:12)
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A.3.2 Deductibles (18:34)
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A.3.3 Limits (23:56)
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A.3.4 Other Adjustments (18:41)
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A.3.5 Variances (26:36)
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A.4 Misc. Continuous Topics ...
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A.4.1 Transformations (12:10)
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A.4.2 Spliced Distributions (13:56)
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A.4.3 Frailty Models (16:19)
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A.4.4 Tail Weights (22:29)
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A.5 Frequency Models ...
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A.5.1 Key Discrete Distributions (20:42)
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A.5.2 Poisson-Gamma (12:46)
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A.5.3 (a, b, 0) Definition (12:57)
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A.5.4 (a, b, 1) Distributions (19:47)
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A.6 Aggregate Models ...
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A.6.1 Normal Approximations (22:21)
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A.6.2 Discrete Severities (25:03)
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A.6.3 Deductibles Per Loss (13:07)
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A.6.4 Aggregate Deductibles (11:39)
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A.6.6 Discretization (16:26)
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STAM-B. Risk Measures ... lessons ... min of video
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B.1 VaR and TVaR ...
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B.1.1 Risk Measures (16:54)
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B.1.3 Deductibles (16:00)
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B.2 Coherence ...
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B.2.1 Coherence (16:54)
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STAM-C. Parametric Estimators ... lessons ... min of video
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C.1 Maximum Likelihood Estimators ...
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C.1.2 Special Cases (20:44)
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C.1.3 Exponentials (20:16)
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C.1.5 Transformations (16:54)
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C.1.6 Calculator Methods (14:03)
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C.2 Estimating Discrete Distributions ...
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C.3 Variances of MLEs ...
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C.3.1 Variances of MLEs (13:27)
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C.3.2 Fisher's Information (23:34)
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C.3.4 Delta Method (18:37)
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C.3.5 Delta Method Continued (11:07)
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C.4 Hypothesis Testing ...
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C.4.1 D(x) Plots (15:35)
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C.4.2 p-p plots (14:37)
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C.4.3 Hypothesis Testing (11:53)
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C.4.4 Kolmogorov-Smirnov (29:18)
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C.4.5 Chi-Square Tests I (24:43)
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C.4.6 Chi-Square Tests 2 (14:53)
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C.4.7 Score Based Models (15:26)
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C.4.8 Likelihood Ratio Test (21:51)
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STAM-D. Credibility ... lessons ... min of video
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D.1 Classical Credibility ...
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D.1.1 Credibility for Frequency (16:15)
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D.1.3 Partial Credibility (12:11)
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D.2 Bayesian Credibility (Coming in May) ...
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D.2.0a Recognizing Distributions (handout)
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D.2.0b Calculus Tricks (handout)
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D.2.1 Discrete Bayesian Credibility (handout)
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D.2.2 Continuous Bayesian Credibility (handout)
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D.2.3 Poisson/Gamma (handout)
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D.2.4 Binomial/Beta (handout)
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D.2.5 Gamma and Inverse Gamma Families (handout)
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D.2.6 Harder Examples (handout)
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D.2.7 Predictive vs Posterior (handout)
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D.3 Buhlmann Credibility (Coming in May) ...
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D.3.1 Buhlmann Credibility (handout)
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D.3.3 Generalizations (handout)
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D.3.4 Exact Credibility (handout)
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D.3.6 Normal/Normal and Lognormal/Normal (handout)
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D.4 Empirical Credibility (Coming in May) ...
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STAM-E. General Insurance (Coming in June) ... lessons ... min of video
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E.1 Reserving (Coming in June) ...
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Reserving (Coming in June) (handout)
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A.1 Probability Review ... lessons ... min of video
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A.1.1 Describing Distributions ...
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A.1.2 Moments ...
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A.1.3 Generating Functions ...
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A.1.4 Joint and Conditional Distributions ...
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A.1.5 Conditional Moments ...
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A.1.6 Mixtures ...
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A.1.7 Sums of Random Variables ...
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A.2 Key Continuous Distributions ... lessons ... min of video
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A.2.1 The Exponential Distribution ...
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A.2.2 The Gamma Distribution ...
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A.2.3 The Pareto Distribution ...
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A.2.4 Normal and Lognormal Distributions ...
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A.2.5 Uniforms and Summary ...
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A.3 Severity Models ... lessons ... min of video
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A.3.1 Scale Parameters ...
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A.3.2 Deductibles ...
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A.3.3 Limits ...
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A.3.4 Other Adjustments ...
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A.3.5 Variances ...
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A.3.6 Decomposing Losses (Optional) ...
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A.4 Misc. Continuous Topics ... lessons ... min of video
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A.4.1 Transformations ...
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A.4.2 Spliced Distributions ...
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A.4.3 Frailty Models ...
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A.4.4 Tail Weights ...
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A.5 Frequency Models ... lessons ... min of video
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A.5.1 Key Discrete Distributions ...
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A.5.2 Poisson-Gamma ...
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A.5.3 (a, b, 0) Definition ...
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A.5.4 (a, b, 1) Distributions ...
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A.5.5 Moments of (a, b, 1) Distributions ...
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A.6 Aggregate Models ... lessons ... min of video
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A.6.1 Normal Approximations ...
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A.6.2 Discrete Severities ...
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A.6.3 Deductibles Per Loss ...
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A.6.4 Aggregate Deductibles ...
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A.6.5 Continuous Aggregate Distributions ...
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B.1 VaR and TVaR ... lessons ... min of video
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B.1.1 Risk Measures ...
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B.1.2 Normal and Lognormal Distributions ...
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B.1.3 Deductibles ...
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B.2 Coherence ... lessons ... min of video
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C.1 Maximum Likelihood Estimators ... lessons ... min of video
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C.2 Estimating Discrete Distributions ... lessons ... min of video
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C.3 Variances of MLEs ... lessons ... min of video
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C.4 Hypothesis Testing ... lessons ... min of video
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C.4.1 D(x) Plots ...
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C.4.2 p-p plots ...
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C.4.3 Hypothesis Testing ...
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C.4.4 Kolmogorov-Smirnov ...
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C.4.5 Chi-Square Tests I ...
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C.4.7 Score Based Models ...
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C.4.7 #1 (0:42)
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C.4.8 Likelihood Ratio Test ...
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C.4.9 Non-Normal Confidence Intervals ...
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D.1 Classical Credibility ... lessons ... min of video
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D.1.1 Credibility for Frequency ...
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D.1.2 Credibility for Aggregate Distributions ...
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D.1.3 Partial Credibility ...
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D.2 Bayesian Credibility ... lessons ... min of video
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D.2.1 Discrete Bayesian Credibility ...
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D.2.2 Continuous Bayesian Credibility ...
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D.2.3 Poisson/Gamma ...
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D.2.4 Binomial/Beta ...
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D.2.6 Harder Examples ...
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D.3 Buhlmann Credibility ... lessons ... min of video
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D.3.1 Buhlmann Credibility ...
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D.3.2 Buhlmann with Discrete Distributions ...
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D.3.3 Generalizations ...
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D.3.5 Buhlmann as Linear Approximation of Bayesian ...
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D.3.5 #1 (4:43)
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D.3.6 Normal/Normal and Lognormal/Normal ...
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D.4 Empirical Credibility ... lessons ... min of video
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TIA Practice Exams (coming in Summer/Fall 2018) ... lessons ... min of video
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TIA Practice Exams (coming in Summer/Fall 2018) ...
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