A: This is deliberate. Stochastic processes are built on struggle. By forcing you to find or create solutions, you internalize the methods. Embrace the difficulty.

A: With extreme caution. For simple Poisson process problems, LLMs are decent. For renewal theory or Brownian motion, modern AI still makes logical leaps that are mathematically wrong. Always validate AI outputs with a textbook or professor.

No single PDF will transform you into an expert. The best "solution" is a hybrid approach: attempt problems relentlessly, consult legitimate academic sources (GitHub, StackExchange, library reserves), collaborate with peers, and treat every solved problem as a building block for the next.

Do you have a specific problem from the 2nd edition that has stumped you? Treat it as a Markov chain: your current state is "confused," but with the right transition (help), you will reach the absorbing state of "understanding."