#statistical-modeling

#statistical-modeling

This is the conundrum of elite chess. The stronger the players, the greater the odds of the match ending in a draw. "What ended up happening," said Mark Glickman, senior lecturer in the Department of Statistics and longtime chess enthusiast, "is that these top players were not having their ratings change very much, just because the games would be drawn all the time."

In addressing the limitations of non-parametric methods, our adaptation of the classical linear autoregressive model enables effective analysis of time series data in Hadamard spaces.