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Add O'Rourke Thesis
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cakiki committed Nov 8, 2024
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10 changes: 10 additions & 0 deletions lichess.bib
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Expand Up @@ -447,6 +447,16 @@ @misc{narayanan:2023:improving-strength-human-models-chess
url = {https://openreview.net/forum?id=fJY2iCssvIs},
}

@mastersthesis{o-rourke:2024:alternative-chess-rating-model-latent-variables,
title = {An alternative chess rating model based on latent variables},
author = {O'Rourke, Patrick},
year = {2024},
note = {http://dx.doi.org/10.13140/RG.2.2.18931.13604},
school = {University College Dublin},
type = {Master's thesis},
annote = {The ranking of players and particularly of chess players has been a topic of debate throughout the last 80 years. Such exploration spawned what has become the benchmark of evaluating professional chess players since the 1970s: the Elo rating model. The Elo system, the first to have a sound statistical basis, was designed by Elo (1978) from the assumption that the performance of a player in a game is a normally distributed random variable Alliot (2017). However, this ranking model is not without its limitations and such has led to extreme rating deflation of the World Chess Federation (FIDE) Standard Elo rating system Sonas (2023). Such attention on the FIDE's rating mechanism has ignited focus on the Elo system's drawbacks which we will address in this dissertation.},
}

@misc{omori:2024:chess-rating-estimation-moves,
title = {Chess Rating Estimation from Moves and Clock Times Using a CNN-LSTM},
author = {Michael Omori and Prasad Tadepalli},
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7 changes: 7 additions & 0 deletions lichess.html
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2023. <a
href="https://openreview.net/forum?id=fJY2iCssvIs">https://openreview.net/forum?id=fJY2iCssvIs</a>.
</div>
<div
id="ref-o-rourke:2024:alternative-chess-rating-model-latent-variables"
class="csl-entry" role="listitem">
O’Rourke, Patrick. <span>“An Alternative Chess Rating Model Based on
Latent Variables.”</span> Master's thesis, University College Dublin,
2024.
</div>
<div id="ref-omori:2024:chess-rating-estimation-moves" class="csl-entry"
role="listitem">
Omori, Michael, and Prasad Tadepalli. <span>“Chess Rating Estimation
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