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Get CSS Scan| Source | Description | |--------|-------------| | UC Berkeley / Harvard problem sets | Publicly available from graduate courses (e.g., Stat 205B, Math 280). Often include solutions. | | MIT OCW – 6.265 / 15.070 | Advanced stochastic processes with problem sets + solutions. | | "Problems in Probability" (T. M. Liggett) | An excellent but rare collection – sometimes legally available via author’s website. | | Durrett’s "Probability: Theory and Examples" – Solutions Manual | Unofficial but widely circulated solutions to Durrett’s classic text. | | arXiv / Project Euclid | Some authors publish problem collections with solutions for self-study. |
When evaluating or creating such a document, look for: advanced probability problems and solutions pdf
A box contains two coins. One coin is a fair coin with a probability of heads ($P(H)$) equal to $0.5$. The other is a two-headed coin with $P(H) = 1$. You pick a coin at random and toss it. Given that the result is Heads, what is the probability that you picked the fair coin? | Source | Description | |--------|-------------| | UC
Problem
Let ( X_1, X_2, \dots ) be i.i.d. with ( \mathbbE[X_1] = 0 ) and ( \mathbbE[X_1^2] = 1 ). Define ( S_n = X_1 + \dots + X_n ). Prove that
[ \fracS_n\sqrtn \quad \textdoes NOT converge almost surely. ] Problem Let ( X_1, X_2, \dots ) be i
Solution outline
Use Kolmogorov’s 0-1 law: the event ( \limsup S_n/\sqrtn \le c ) is a tail event, so its probability is 0 or 1. If almost sure convergence occurred, the limit would be constant a.s., but CLT gives non-degenerate distribution, contradiction. Hence no a.s. convergence.
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