Testing new wrapping method

tests/phd_dissertation_in.tex

@@ -242,8 +242,7 @@
 and nontraditional data.
 
 We begin in the regression setting by studying the Mondrian random forest, a
-variant in which the partitions are drawn from a Mondrian process.
-We present a
+variant in which the partitions are drawn from a Mondrian process. We present a
 comprehensive analysis of the statistical properties of Mondrian random
 forests, including a central limit theorem for the estimated regression
 function and a characterization of the bias. We show how to conduct feasible
@@ -255,16 +254,14 @@
 dependent dyadic network data. We present results for minimax-optimal
 estimation, including a novel lower bound for the dyadic uniform convergence
 rate, and develop methodology for uniform inference via confidence bands and
-counterfactual analysis. Our methods are based on
-strong approximations and are
+counterfactual analysis. Our methods are based on strong approximations and are
 designed to be adaptive to potential dyadic degeneracy. We give empirical
 results with simulated and real-world economic trade data.
 
 Finally, we develop some new probabilistic results with applications to
 nonparametric statistics. Coupling has become a popular approach for
 distributional analysis in recent years, and Yurinskii's method stands out for
-its wide applicability and explicit formulation. We present a
-generalization of
+its wide applicability and explicit formulation. We present a generalization of
 Yurinskii's coupling, treating approximate martingale data under weaker
 conditions than previously imposed. We allow for Gaussian mixture coupling
 distributions, and a third-order method permits faster rates in certain
@@ -275,10 +272,8 @@
 }
 \acknowledgments{
 
-I am extremely fortunate to have been surrounded by many
-truly wonderful people
-over the course of my career, and without their support
-this dissertation would
+I am extremely fortunate to have been surrounded by many truly wonderful people
+over the course of my career, and without their support this dissertation would
 not have been possible. While it is impossible for me to identify every one of
 them individually, I would like to mention a few names in particular to
 recognize those who have been especially important to me during the last few
@@ -288,93 +283,48 @@
 Matias Cattaneo. Working with Matias has been genuinely inspirational for me,
 and I could not have asked for a more rewarding start to my journey as a
 researcher. From the very beginning, he has guided me expertly through my
-studies, providing hands-on assistance when required while also
-allowing me the
+studies, providing hands-on assistance when required while also allowing me the
 independence necessary to develop as an academic. I hope that, during the four
 years we have worked together, I have acquired just a fraction of his
-formidable
-mathematical intuition, keen attention to detail, boundless creativity, and
-inimitable pedagogical skill. Alongside his role as my adviser,
-Matias has been
-above all a friend, who has been in equal measure inspiring,
+formidable mathematical intuition, keen attention to detail, boundless
+creativity, and inimitable pedagogical skill. Alongside his role as my adviser,
+Matias has been above all a friend, who has been in equal measure inspiring,
 insightful, dedicated, understanding, and kind.
 
 Secondly, I would like to thank all of the faculty members at Princeton and
 beyond who have acted as my collaborators and mentors, without whom none of my
 work could have been realized. In particular, I express my gratitude to my
 tireless Ph.D.\ committee members and letter writers Jianqing Fan and Jason
-Klusowski, my coauthors Yingjie Feng and Ricardo Masini,
-my dissertation reader
-Boris Hanin, my teachers
-Amir Ali Ahmadi, Ramon van Handel, Mikl{\'o}s R{\'a}cz, and Mykhaylo
-Shkolnikov,
-my colleagues Sanjeev Kulkarni and Roc{\'i}o Titiunik,
-and my former supervisor Mihai Cucuringu.
-I am also thankful for the staff members at Princeton who have been
-perpetually helpful, and I would like to identify Kim
+Klusowski, my coauthors Yingjie Feng and Ricardo Masini, my dissertation reader
+Boris Hanin, my teachers Amir Ali Ahmadi, Ramon van Handel, Mikl{\'o}s
+R{\'a}cz, and Mykhaylo Shkolnikov, my colleagues Sanjeev Kulkarni and Roc{\'i}o
+Titiunik, and my former supervisor Mihai Cucuringu. I am also thankful for the
+staff members at Princeton who have been perpetually helpful, and I would like
+to identify Kim
 Lupinacci in particular; her assistance in all things administrative has been
 invaluable.
 
 I am grateful to my fellow graduate students in the ORFE department for their
 technical expertise and generosity with their time, and for making Sherrerd
-Hall such a vibrant and exciting space, especially
-Jose Avilez,
-Pier Beneventano,
-Ben Budway,
-Rajita Chandak,
-Abraar Chaudhry,
-Stefan Clarke,
-Giulia Crippa,
-G{\"o}k{\c c}e Dayan{\i}kl{\i},
-Nicolas Garcia,
-Felix Hoefer,
-Erica Lai,
-Jackie Lok,
-Maya Mutic,
-Dan Rigobon,
-Till Saenger,
-Rajiv Sambharya,
-Boris Shigida,
-Igor Silin,
-Giang Truong,
-and Rae Yu.
-Our
-regular social events made a contribution to my well-being which is difficult
-to overstate. My thanks extend also to the students I taught, as
-well as to my group of senior thesis undergraduates, for their commitment,
-patience, and responsiveness.
-
-More broadly, I would like to thank all of my friends, near and far,
-for their unfailing support and reliability, and for
-helping to create so many of my treasured memories. In particular,
-Ole Agersnap,
-James Ashford,
-Christian Baehr,
-Chris Bambic,
-Kevin Beeson,
-James Broadhead,
-Alex Cox,
-Reece Edmends,
-Robin Franklin,
-Greg Henderson,
-Bonnie Ko,
-Grace Matthews,
-Dan Mead,
-Ben Musachio,
-Jacob Neis,
-Monika Papayova,
-Will Pedrick,
-Oliver Philcox,
-Nandita Rao,
-Alex Rice,
-Edward Rowe,
-David Snyder,
-Titi Sodimu,
-Nikitas Tampakis,
-and Anita Zhang.
-Thank you to the Princeton Chapel Choir for being such a wonderful
-community of musicians and a source of close friends,
-and to our directors, Nicole Aldrich and Penna Rose, and organist Eric Plutz.
+Hall such a vibrant and exciting space, especially Jose Avilez, Pier
+Beneventano, Ben Budway, Rajita Chandak, Abraar Chaudhry, Stefan Clarke, Giulia
+Crippa, G{\"o}k{\c c}e Dayan{\i}kl{\i}, Nicolas Garcia, Felix Hoefer, Erica
+Lai, Jackie Lok, Maya Mutic, Dan Rigobon, Till Saenger, Rajiv Sambharya, Boris
+Shigida, Igor Silin, Giang Truong, and Rae Yu. Our regular social events made a
+contribution to my well-being which is difficult to overstate. My thanks extend
+also to the students I taught, as well as to my group of senior thesis
+undergraduates, for their commitment, patience, and responsiveness.
+
+More broadly, I would like to thank all of my friends, near and far, for their
+unfailing support and reliability, and for helping to create so many of my
+treasured memories. In particular, Ole Agersnap, James Ashford, Christian
+Baehr, Chris Bambic, Kevin Beeson, James Broadhead, Alex Cox, Reece Edmends,
+Robin Franklin, Greg Henderson, Bonnie Ko, Grace Matthews, Dan Mead, Ben
+Musachio, Jacob Neis, Monika Papayova, Will Pedrick, Oliver Philcox, Nandita
+Rao, Alex Rice, Edward Rowe, David Snyder, Titi Sodimu, Nikitas Tampakis, and
+Anita Zhang. Thank you to the Princeton Chapel Choir for being such a wonderful
+community of musicians and a source of close friends, and to our directors,
+Nicole Aldrich and Penna Rose, and organist Eric Plutz.
 
 Lastly, yet most importantly, I want to thank my family for their unwavering
 support throughout my studies. My visits back home have been a source of joy

tests/phd_dissertation_out.tex

@@ -242,8 +242,7 @@
   and nontraditional data.
 
   We begin in the regression setting by studying the Mondrian random forest, a
-  variant in which the partitions are drawn from a Mondrian process.
-  We present a
+  variant in which the partitions are drawn from a Mondrian process. We present a
   comprehensive analysis of the statistical properties of Mondrian random
   forests, including a central limit theorem for the estimated regression
   function and a characterization of the bias. We show how to conduct feasible
@@ -255,16 +254,14 @@
   dependent dyadic network data. We present results for minimax-optimal
   estimation, including a novel lower bound for the dyadic uniform convergence
   rate, and develop methodology for uniform inference via confidence bands and
-  counterfactual analysis. Our methods are based on
-  strong approximations and are
+  counterfactual analysis. Our methods are based on strong approximations and are
   designed to be adaptive to potential dyadic degeneracy. We give empirical
   results with simulated and real-world economic trade data.
 
   Finally, we develop some new probabilistic results with applications to
   nonparametric statistics. Coupling has become a popular approach for
   distributional analysis in recent years, and Yurinskii's method stands out for
-  its wide applicability and explicit formulation. We present a
-  generalization of
+  its wide applicability and explicit formulation. We present a generalization of
   Yurinskii's coupling, treating approximate martingale data under weaker
   conditions than previously imposed. We allow for Gaussian mixture coupling
   distributions, and a third-order method permits faster rates in certain
@@ -275,10 +272,8 @@
 }
 \acknowledgments{
 
-  I am extremely fortunate to have been surrounded by many
-  truly wonderful people
-  over the course of my career, and without their support
-  this dissertation would
+  I am extremely fortunate to have been surrounded by many truly wonderful people
+  over the course of my career, and without their support this dissertation would
   not have been possible. While it is impossible for me to identify every one of
   them individually, I would like to mention a few names in particular to
   recognize those who have been especially important to me during the last few
@@ -288,93 +283,48 @@
   Matias Cattaneo. Working with Matias has been genuinely inspirational for me,
   and I could not have asked for a more rewarding start to my journey as a
   researcher. From the very beginning, he has guided me expertly through my
-  studies, providing hands-on assistance when required while also
-  allowing me the
+  studies, providing hands-on assistance when required while also allowing me the
   independence necessary to develop as an academic. I hope that, during the four
   years we have worked together, I have acquired just a fraction of his
-  formidable
-  mathematical intuition, keen attention to detail, boundless creativity, and
-  inimitable pedagogical skill. Alongside his role as my adviser,
-  Matias has been
-  above all a friend, who has been in equal measure inspiring,
+  formidable mathematical intuition, keen attention to detail, boundless
+  creativity, and inimitable pedagogical skill. Alongside his role as my adviser,
+  Matias has been above all a friend, who has been in equal measure inspiring,
   insightful, dedicated, understanding, and kind.
 
   Secondly, I would like to thank all of the faculty members at Princeton and
   beyond who have acted as my collaborators and mentors, without whom none of my
   work could have been realized. In particular, I express my gratitude to my
   tireless Ph.D.\ committee members and letter writers Jianqing Fan and Jason
-  Klusowski, my coauthors Yingjie Feng and Ricardo Masini,
-  my dissertation reader
-  Boris Hanin, my teachers
-  Amir Ali Ahmadi, Ramon van Handel, Mikl{\'o}s R{\'a}cz, and Mykhaylo
-  Shkolnikov,
-  my colleagues Sanjeev Kulkarni and Roc{\'i}o Titiunik,
-  and my former supervisor Mihai Cucuringu.
-  I am also thankful for the staff members at Princeton who have been
-  perpetually helpful, and I would like to identify Kim
+  Klusowski, my coauthors Yingjie Feng and Ricardo Masini, my dissertation reader
+  Boris Hanin, my teachers Amir Ali Ahmadi, Ramon van Handel, Mikl{\'o}s
+  R{\'a}cz, and Mykhaylo Shkolnikov, my colleagues Sanjeev Kulkarni and Roc{\'i}o
+  Titiunik, and my former supervisor Mihai Cucuringu. I am also thankful for the
+  staff members at Princeton who have been perpetually helpful, and I would like
+  to identify Kim
   Lupinacci in particular; her assistance in all things administrative has been
   invaluable.
 
   I am grateful to my fellow graduate students in the ORFE department for their
   technical expertise and generosity with their time, and for making Sherrerd
-  Hall such a vibrant and exciting space, especially
-  Jose Avilez,
-  Pier Beneventano,
-  Ben Budway,
-  Rajita Chandak,
-  Abraar Chaudhry,
-  Stefan Clarke,
-  Giulia Crippa,
-  G{\"o}k{\c c}e Dayan{\i}kl{\i},
-  Nicolas Garcia,
-  Felix Hoefer,
-  Erica Lai,
-  Jackie Lok,
-  Maya Mutic,
-  Dan Rigobon,
-  Till Saenger,
-  Rajiv Sambharya,
-  Boris Shigida,
-  Igor Silin,
-  Giang Truong,
-  and Rae Yu.
-  Our
-  regular social events made a contribution to my well-being which is difficult
-  to overstate. My thanks extend also to the students I taught, as
-  well as to my group of senior thesis undergraduates, for their commitment,
-  patience, and responsiveness.
-
-  More broadly, I would like to thank all of my friends, near and far,
-  for their unfailing support and reliability, and for
-  helping to create so many of my treasured memories. In particular,
-  Ole Agersnap,
-  James Ashford,
-  Christian Baehr,
-  Chris Bambic,
-  Kevin Beeson,
-  James Broadhead,
-  Alex Cox,
-  Reece Edmends,
-  Robin Franklin,
-  Greg Henderson,
-  Bonnie Ko,
-  Grace Matthews,
-  Dan Mead,
-  Ben Musachio,
-  Jacob Neis,
-  Monika Papayova,
-  Will Pedrick,
-  Oliver Philcox,
-  Nandita Rao,
-  Alex Rice,
-  Edward Rowe,
-  David Snyder,
-  Titi Sodimu,
-  Nikitas Tampakis,
-  and Anita Zhang.
-  Thank you to the Princeton Chapel Choir for being such a wonderful
-  community of musicians and a source of close friends,
-  and to our directors, Nicole Aldrich and Penna Rose, and organist Eric Plutz.
+  Hall such a vibrant and exciting space, especially Jose Avilez, Pier
+  Beneventano, Ben Budway, Rajita Chandak, Abraar Chaudhry, Stefan Clarke, Giulia
+  Crippa, G{\"o}k{\c c}e Dayan{\i}kl{\i}, Nicolas Garcia, Felix Hoefer, Erica
+  Lai, Jackie Lok, Maya Mutic, Dan Rigobon, Till Saenger, Rajiv Sambharya, Boris
+  Shigida, Igor Silin, Giang Truong, and Rae Yu. Our regular social events made a
+  contribution to my well-being which is difficult to overstate. My thanks extend
+  also to the students I taught, as well as to my group of senior thesis
+  undergraduates, for their commitment, patience, and responsiveness.
+
+  More broadly, I would like to thank all of my friends, near and far, for their
+  unfailing support and reliability, and for helping to create so many of my
+  treasured memories. In particular, Ole Agersnap, James Ashford, Christian
+  Baehr, Chris Bambic, Kevin Beeson, James Broadhead, Alex Cox, Reece Edmends,
+  Robin Franklin, Greg Henderson, Bonnie Ko, Grace Matthews, Dan Mead, Ben
+  Musachio, Jacob Neis, Monika Papayova, Will Pedrick, Oliver Philcox, Nandita
+  Rao, Alex Rice, Edward Rowe, David Snyder, Titi Sodimu, Nikitas Tampakis, and
+  Anita Zhang. Thank you to the Princeton Chapel Choir for being such a wonderful
+  community of musicians and a source of close friends, and to our directors,
+  Nicole Aldrich and Penna Rose, and organist Eric Plutz.
 
   Lastly, yet most importantly, I want to thank my family for their unwavering
   support throughout my studies. My visits back home have been a source of joy