-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathresearch.html
executable file
·320 lines (262 loc) · 11.8 KB
/
research.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
---
layout: default
title: Dan Cervone
---
<!-- PUBLICATIONS ROW -->
<div class="pub">
<h2 id="publications">
<img src="images/gpreg.png", width=146px, style="vertical-align:middle;padding-right:20px">
<span>Papers</span>
</h2>
</div>
<div class="pub">
<ul>
<li>
<div class="pub-info">
<p style="margin-bottom:10px">A Framework for the Fine-Grained Evaluation of the Instantaneous Expected Value of Soccer Possessions [<a href="https://arxiv.org/abs/2011.09426" target="_blank">arXiv</a>]</p>
Javier Fernández, Luke Bornn, <b>Dan Cervone</b>
<br>
<i>Machine Learning (2021)</i>
<br>
</div>
</li>
<li>
<div class="pub-info">
<p style="margin-bottom:10px">Automated vs Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition [<a href="https://arxiv.org/abs/1707.02641" target="_blank">arXiv</a>]; Response to Discussions and a Look Ahead [<a href="https://www.e-publications.org/ims/submission/STS/user/submissionFile/39051?confirm=9b65c396" target="_blank">pdf</a>]</p>
Vincent Dorie, Jennifer Hill, Uri Shalit, Marc Scott, and <b>Dan Cervone</b>
<br>
<i>Statistical Science (2019)</i>
<br>
</div>
</li>
<li>
<div class="pub-info">
<p style="margin-bottom:10px">Soccer Analytics: Unravelling the Complexity of "the Beautiful Game"[<a href="https://rss.onlinelibrary.wiley.com/doi/abs/10.1111/j.1740-9713.2018.01146.x" target="_blank">pdf</a>]</p>
Luke Bornn, <b>Dan Cervone</b>, and Javier Fernandez
<br>
<i>Significance (2018)</i>
</div>
</li>
<li>
<div class="pub-info">
<p style="margin-bottom:10px">Meta-Analytics: Tools for Understanding the Statistical Properties of Sports Metrics [<a href="https://arxiv.org/abs/1609.09830" target="_blank">arXiv</a>]</p>
Alex Franks, Alex D'Amour, <b>Dan Cervone</b>, and Luke Bornn
<br>
<i>Journal of Quantitative Analysis in Sports (2017)</i>
</div>
</li>
<li>
<div class="pub-info">
<p style="margin-bottom:10px">Studying Basketball through the Lens of Player Tracking Data [<a href="https://www.crcpress.com/Handbook-of-Statistical-Methods-and-Analyses-in-Sports/Albert-Glickman-Swartz-Koning/p/book/9781498737364" target="_blank">book chapter</a>]</p>
Luke Bornn, <b>Dan Cervone</b>, Alex Franks, and Andrew Miller
<br>
Appears in <i>Handbook of Statistical Methods and Analyses in Sports (2016)</i>; Jim Albert, Mark Glickman, Tim Swartz, Ruud Koning, editors
</div>
</li>
<li>
<div class="pub-info">
<p style="margin-bottom:10px">StatCast Dashboard: Exploration of Spatiotemporal Baseball Data [<a href="https://www.ncbi.nlm.nih.gov/pubmed/28113146" target="_blank">pubmed</a>]</p>
Marcos Lage, Jorge Ono, <b>Dan Cervone</b>, Justin Chiang, Carlos Dietrich, and Claudio Silva
<br>
<i>IEEE Computer Graphics and Applications (2016)</i>
</div>
</li>
<li>
<div class="pub-info">
<p style="margin-bottom:10px">Gaussian Process Regression with Location Errors [<a href="http://arxiv.org/abs/1506.08256" target="_blank">arXiv</a>]</p>
<b>Dan Cervone</b> and Natesh Pillai
<br>
<i>Ph.D. Dissertation (2015)</i>
</div>
</li>
<li>
<div class="pub-info">
<p style="margin-bottom:10px">A Multiresolution Stochastic Process Model for Predicting Basketball Possession Outcomes [<a href="http://arxiv.org/abs/1408.0777" target="_blank">arXiv</a>]</p>
<b>Dan Cervone</b>, Alex D'Amour, Luke Bornn, and Kirk Goldsberry
<br>
<i>Journal of the American Statistical Assocation (2016)</i>
</div>
</li>
<li>
<!--<img src="images/micro_motifs.png", width=100px style="margin: 30px 35px 0px 35px">-->
<div class="pub-info">
<p style="margin-bottom:10px">A Location-Mixture Autoregressive Model for Online Forecasting of Lung Tumor Motion [<a href="http://arxiv.org/abs/1309.4144" target="_blank">arXiv</a>]</p>
<b>Dan Cervone</b>, Natesh Pillai, Debdeep Pati, Ross Berbeco, and John Henry Lewis
<br>
<i>Annals of Applied Statistics (2014)</i>
</div>
</li>
</ul>
</div>
</div>
<div class="pub">
<h2 id="talks">
<img src="images/voronoi.png", width=146px, style="vertical-align:middle;padding-right:20px">
<span>Conference talks</span>
<br>
</h2>
</div>
<div class="pub">
<ul>
<li>
<div class="pub-info">
<p style="margin-bottom:10px"> NBA Court Realty [<a href="slides/realty_jsm.html" target="_blank">slides</a>]</p>
<i>Joint Statistical Meetings (2016); Chicago, IL</i>
</div>
</li>
<li>
<div class="pub-info">
<p style="margin-bottom:10px"> Hierarchical Modeling of High-Resolution Player-Tracking Data [<a href="slides/isba2016/isba_talk.html" target="_blank">slides</a>]</p>
<i>Intl. Soc. for Bayesian Analysis World Meeting (2016); Sardinia, Italy</i>
</div>
</li>
<li>
<div class="pub-info">
<p style="margin-bottom:10px">NBA Court Realty [<a href="slides/court_realty.html" target="_blank">slides</a>, <a href="https://www.youtube.com/watch?v=SS-HJIici-k" target="_blank">youtube</a>]</p>
<i>New England Symposium on Statistics in Sports (2015); Cambridge, MA</i>
</div>
</li>
<li>
<div class="pub-info">
<p style="margin-bottom:10px">A Multiresolution Stochastic Process Model for Predicting Basketball Possession Outcomes [<a href="slides/epv_jsm.pdf" target="_blank">slides</a>]</p>
<i>Joint Statistical Meetings (2015); Seattle, WA</i> <font color="#0059b3" style="font-weight:400">(SBSS student paper travel award)</font>
</div>
</li>
<li>
<div class="pub-info">
<p style="margin-bottom:10px">A Location-Mixture Autoregressive Model for Online Forecasting of Lung Tumor Motion [<a href="slides/lung_tumor_prediction.pdf" target="_blank">slides</a>]</p>
<i>Joint Statistical Meetings (2014); Boston, MA</i>
</div>
</li>
<li>
<div class="pub-info">
<p style="margin-bottom:10px">Pointwise: Predicting Points and Valuing Decisions in Real Time with NBA Optical Tracking Data [<a href="http://www.sloansportsconference.com/wp-content/uploads/2014/02/2014_SSAC_Pointwise-Predicting-Points-and-Valuing-Decisions-in-Real-Time.pdf" target="_blank">paper</a>, <a href="http://www.sloansportsconference.com/wp-content/uploads/2014/06/Pointwise.pdf" target="_blank">slides</a>, <a href="https://www.youtube.com/watch?v=y58UFbIBuFo" target="_blank">youtube</a>]</p>
<i>MIT Sloan Sports Analytics Conference (2014); Boston, MA</i>
</div>
</li>
<li>
<div class="pub-info">
<p style="margin-bottom:10px">State of Transition: Estimating Real-Time Expected Possession Value in the NBA with a Spatiotemporal Transition Model and Player Tracking Data [<a href="http://www.nessis.org/nessis13/cervone.pdf" target="_blank">slides</a>, <a href="https://www.youtube.com/watch?v=2fYa7M_H3S4" target="_blank">youtube</a>]</p>
<i>New England Symposium on Statistics in Sports (2013); Cambridge, MA</i>
</div>
</li>
</ul>
</div>
<div class="pub">
<h2 id="posters">
<img src="images/micro_motifs.png", width=146px, style="vertical-align:middle;padding-right:20px">
<span>Posters</span>
<br>
</h2>
</div>
<div class="pub">
<ul>
<li>
<div class="pub-info">
<p style="margin-bottom:10px">NBA Court Realty [<a href="slides/court_realty_poster.pdf" target="_blank">pdf</a>]</p>
<b>Dan Cervone</b>, Luke Bornn, and Kirk Goldsberry<br>
<i>MIT Sloan Sports Analytics Conference (2016); Boston, MA</i>
</div>
</li>
<li>
<div class="pub-info">
<p style="margin-bottom:10px">Move or Die: How Ball Movement Creates Open Shots in the NBA [<a href="slides/move_or_die.pptx" target="_blank">pdf</a>]</p>
Alex D'Amour, <b>Dan Cervone</b>, Luke Bornn, and Kirk Goldsberry<br>
<i>MIT Sloan Sports Analytics Conference (2015); Boston, MA</i> <font color="#0059b3" style="font-weight:400">(Best poster award)</font>
</div>
</li>
<li>
<div class="pub-info">
<p style="margin-bottom:10px">Real-Time Prediction of Basketball Outcomes Using High-Resolution Spatio-Temporal Tracking Data [<a href="slides/EPV_poster.pdf" target="_blank">pdf</a>]</p>
<b>Dan Cervone</b>, Alex D'Amour, Luke Bornn, and Kirk Goldsberry<br>
<i>International Society for Bayesian Analysis World Meeting (2014); Cancun, Mexico</i>
</div>
</li>
</ul>
</div>
<div class="pub">
<h2 id="colloquia">
<img src="images/sigma1.png", width=146px, style="vertical-align:middle;padding-right:20px">
<span>Colloquia</span>
<br>
</h2>
</div>
<div class="pub">
<ul>
<li>
<div class="pub-info">
Predicting Basketball Possession Outcomes Using Optical Tracking Data [<a href="slides/nba_epv.html" target="_blank">slides</a>]
<br>
<i>Data Science Lunch Seminar (November 2015); NYU Center for Data Science</i>
</div>
</li>
<li>
<div class="pub-info">
Gaussian Process Regression with Noisy Inputs [<a href="slides/GP_noisy_inputs.pdf" target="_blank">slides</a>]
<br>
<i>Research in Statistics Student Seminar (March 2015); Harvard Statistics Department</i>
</div>
</li>
<li>
<div class="pub-info">Some Statistical Problems in Climate Reconstruction [<a href="slides/PQapr14.pdf" target="_blank">slides</a>]<br>
<i>Research in Statistics Student Seminar (April 2014); Harvard Statistics Department</i>
</div>
</li>
<li>
<div class="pub-info">Pointwise: Predicting Points and Valuing Decisions in Real Time with NBA Optical Tracking Data [<a href="slides/PQdec13.pdf" target="_blank">slides</a>]<br>
<i>Post-Qualifying Talk (December 2013); Harvard Statistics Department</i> <font color="#0059b3" style="font-weight:400">(top post qual talk award)</font>
</div>
</li>
<li>
<div class="pub-info">Precisely Forecasting the Location and Motion of Lung Tumors [<a href="slides/PQmay13.pdf" target="_blank">slides</a>]<br>
<i>Post-Qualifying Talk (May 2013); Harvard Statistics Department</i>
</div>
</li>
<li>
<div class="pub-info">A Two-Level Toeplitz Model for Large-Scale
Simultaneous Hypothesis Testing [<a href="slides/PQdec12.pdf" target="_blank">slides</a>]<br>
<i>Post-Qualifying Talk (December 2012); Harvard Statistics Department</i>
</div>
</li>
<li>
<div class="pub-info">Real-Time Light Curve Classification [<a href="slides/light_curves.pdf" target="_blank">slides</a>]<br>
<i>California-Harvard Astrostatistics Collaboration (October 2012); Harvard</i>
</div>
</li>
</ul>
</div>
<div class="pub">
<h2 id="media">
<img src="images/databall.jpg", width=146px, style="vertical-align:middle;padding-right:20px">
<span>Media</span>
<br>
</h2>
</div>
<div class="pub">
<ul>
<li>
<div class="pub-info">
<a href="http://news.harvard.edu/gazette/story/2014/03/bringing-order-to-the-court/" target="_blank"><b>Bringing Order to the Court</b></a><br>
<i>Harvard Gazette</i> (March 2014)
</div>
</li>
<li>
<div class="pub-info">
<a href="http://www.boston.com/bostonglobe/ideas/brainiac/2014/03/a_new_more_accu.html" target="_blank"><b>A New (More Accurate?) Way to Evaluate NBA Players</b></a><br>
<i>Boston Globe</i> (March 2014)
</div>
</li>
<li>
<div class="pub-info">
<a href="http://grantland.com/features/expected-value-possession-nba-analytics/" target="_blank"><b>DataBall</b></a><br>
<i>Grantland</i> (February 2014)
</div>
</li>
<li>
<div class="pub-info">
<a href="http://grantland.com/the-triangle/behind-databall-a-discussion-on-the-methodology-of-expected-points-value/" target="_blank"><b>Behind DataBall: A Discussion on the Methodology of Expected Possession Value</b></a><br>
<i>Grantland</i> (February 2014)
</div>
</li>
</ul>
</div>