= David Pollard
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<David Pollard> is a statistician whose research and exposition concern <weak convergence>, <empirical processes> and <stochastic processes>. Yale's institutional profile identifies these specialties, together with statistical asymptotics and <econometrics>.https://applied.math.yale.edu/people/david-pollard[Research interests and institutional identity]{ref}
A recurring scientific issue in his writing is how bounds for one random quantity become simultaneous bounds for a whole indexed family. His <Measurability Woes by David Pollard> explains why pointwise almost-sure agreement does not automatically provide a single exceptional set valid at every index. That distinction matters when a <supremum> or an entire <sample path> enters an argument. His author page lists \i[Convergence of Stochastic Processes] (1984) and \i[Empirical Processes: Theory and Applications] (1990), followed by broader notes on probability methods.https://www.stat.yale.edu/~pollard/[Books and manuscripts]{ref}<Measurability Woes by David Pollard>[Section 10.4, separable versions]{ref}
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