<t>This is a Markov chain and every state is recurrent. We can quickly get the transition matrix P. At equilibrium, the probability that the criminal stay at a certain state i is determinent and is written as a vector v, by solving v=vP, we can get v and find out the probability that he stays at a c...

quick calculation gives(1-p^N)/(1-p)/p^N

Binormial tree with stopping strategy. Using backtrack to get the expected payoff.I guess.

Not famous journals. Just several common papers which are irrelevant. Not so sure whether I should put a list of the titles there since the interviewer may know nothing about my research.

For an entry level job, do I need to list the recent journal publications in the resume? My papers are totally irrelevant to quant though.Thanks.