Peng Ding @pengding00
Associate Professor of Statistics sites.google.com/site/pengdingp… Berkeley Joined December 2022-
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Just gave a guest lecture on Bayesian Causal Inference at Williams College, with slides and R code at doi.org/10.7910/DVN/JO… which is an introduction to our review paper royalsocietypublishing.org/doi/10.1098/rs… @fabri_mealli @FanLiDuke (I never taught any Bayesian Statistics at Berkeley.)
Fan Li's slides for causal inference
Hope we provide some new insights into the old problem of missing data in RCTs. @FanLiDuke
Hope we provide some new insights into the old problem of missing data in RCTs. @FanLiDuke
``control'' means many different things in statistics, e.g. treatment-control experiment; control for confounding; case-control study; negative control; controlled direct effect; control function. ``control'' can even mean covariates (good or bad controls).
``control'' means many different things in statistics, e.g. treatment-control experiment; control for confounding; case-control study; negative control; controlled direct effect; control function. ``control'' can even mean covariates (good or bad controls).
My co-author @rlbarter and I are thrilled to announce the online release of our MIT Press book "Veridical Data Science: The Practice of Responsible Data Analysis and Decision Making" (vdsbook.com), an essential source for producing trustworthy data-driven results.
How should we analyze experiments that randomly form groups of people? A new paper by Basse, @pengdingpku, @AviFeller, and @PanosToulis proposes a simple-to-implement, randomization-based test that is exact in finite samples.📊 econometricsociety.org/publications/e…
I just posted my notes for Stat 230 ``Linear Models'' to ArXiv: arxiv.org/pdf/2401.00649… It covers the linear model and many extensions. I will teach it again in the spring and continue polishing the notes. Comments are welcome.
Congratulations to Denis Kojevnikov who received the 2023 @JEconometrics Zellner Award, together with @vadimmarmer & Kyungchul Song, for the best theory paper in the journal: Limit theorems for network dependent random variables 👏🏽👏🏽 journals.elsevier.com/journal-of-eco… @PaulaAureo
Open rank teaching professor position in EECS/Data Science at @BerkeleyDataSci! Our teaching professors are in the Academic Senate, can get tenure equivalent (Security of Employment in our HRese), and get to shape a world-leading data science program. aprecruit.berkeley.edu/JPF04169
The bias-corrected matching estimator has the same form as the doubly robust estimator; see proposition 15.2 of arxiv.org/pdf/2305.18793… Zhexiao and Fang made the argument rigorous! @zzzxlin @johnleibniz
The bias-corrected matching estimator has the same form as the doubly robust estimator; see proposition 15.2 of arxiv.org/pdf/2305.18793… Zhexiao and Fang made the argument rigorous! @zzzxlin @johnleibniz
This is amazing. Python code for ``A first course in causal inference'': arxiv.org/pdf/2305.18793… Thank you, Apoorva.
This is amazing. Python code for ``A first course in causal inference'': arxiv.org/pdf/2305.18793… Thank you, Apoorva.
Dennis observed the numerical equivalence of the Horizontal and Vertical Regression in panel data @gitinmabellayo based on the OLS interpolator. Now we are interested in the OLS interpolator itself: arxiv.org/pdf/2309.15769…
Dennis observed the numerical equivalence of the Horizontal and Vertical Regression in panel data @gitinmabellayo based on the OLS interpolator. Now we are interested in the OLS interpolator itself: arxiv.org/pdf/2309.15769…
@pengding00 also @pengding00 if you need any more motivation to learn python, I just added a handy trick I learned from @RobDonnelly47 to generate a dag for free from a DGP for your M/Z bias chapter :) github.com/apoorvalal/din…
Help debug my implementation (github.com/apoorvalal/din…) of the Abadie/Imbens variance estimator for matching (f1). The variance estimation step in the popular Matching R package is iterative and opaque (f2). Interested in implementing KNN at scale with github.com/spotify/annoy
I just uploaded the R code and datasets to Harvard Dataverse: doi.org/10.7910/DVN/ZX… I plan to provide Python code as well but I need to learn Python first.
I just uploaded the R code and datasets to Harvard Dataverse: doi.org/10.7910/DVN/ZX… I plan to provide Python code as well but I need to learn Python first.
Hi #EconTwitter! 📊 Diving into causal inference and the #econometrics of networks? Check out this paper by @MengsiGao & Peng Ding (@UCBerkeley), who deal with regression-based analysis for exposure effects estimation in network experiments. 📈 Interesting read for…
My lecture notes on causal inference
Today in Development Impact: I discuss a forthcoming paper in JASA by Zhao and Ding on how to handle missing values in baseline covariates for adjustment to estimate the ATE in an RCT. blogs.worldbank.org/impactevaluati…
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Despite being a hardcore Python convert, I think R is still the best language to run a regression.
In 1996, two academics from the University of Auckland, New Zealand, launched a new programming language. 25 years later, this language is one of the most widely used in the world. Here's the story of R: #rstats
Associate Professor @fperez_org was presented with a 2023 Exceptional Public Service Medal, one of @NASA's major recognitions for non-government personnel and granted for exceptional contributions to NASA’s mission. bids.berkeley.edu/news/fernando-… #BerkeleyStats
Stat 303 Art of Communicating & Teaching Statistics held their "Grand Finale Lecture," given by Jeff Behrends and Matthew Kopec of the Embedded EthiCS program at Harvard. They gave a thought-provoking talk on "What is the Point of Ethics Education in CS?" statistics.fas.harvard.edu/abstracts-stat…
I'm thrilled to receive the Calderone Junior Faculty Award at the State of the School event @ColumbiaMSPH. This timely support will enable me to advance underexplored research on #climate and #health, focusing on #wildfire and #airpollution mitigation through #prescribed-fires.
Writing is more than a vehicle for communicating ideas. It's a tool for crystallizing ideas. Writing exposes gaps in your knowledge and logic. It pushes you to articulate assumptions and consider counterarguments. One of the best paths to sharper thinking is frequent writing.
Really cool paper. But please, tell me more about how the front-door criterion is not a valid method because it’s hard to find an application that “works”…
Excited to see our paper on instrumental variables in Political Science out at @polanalysis! In it, we look at how IVs have been used in the past and provide advice for researchers looking to use them in the future. doi.org/10.1017/pan.20…
Beautiful view at the Schenley Park at our morning jogging session. Glad to see many people joining!
Tremendously honored to receive the Peter Gavin Hall IMS Early Career Prize! Thanks to all my mentors, collaborators, and mentees for their support through my career so far!
Congratulations to @EdgarDobriban who won the 2024 Peter Gavin Hall IMS Early Career Prize Read more here: imstat.org/2024/05/02/edg…
So proud of my mentor @francescadomin8 who was elected as the top 100 most important people in Global Health. So generous with your time and heart, and brilliant too! Very lucky to know you! time.com/6968410/france…
Excited to see our paper on instrumental variables in Political Science out at @polanalysis! In it, we look at how IVs have been used in the past and provide advice for researchers looking to use them in the future. doi.org/10.1017/pan.20…
Julie Vu with undergrads Alyssa Yap and Nick Dominguez led a lesson for Project Teach on Data Visualization. 7th grade students gave their thumbs up or down to different graphs using stickers. @HarvardLocal
Look at the sepia-toned graduation photo of the six rocking chairs @umichsph 👇🏽. My counsel of friends, united in our mission, always providing unconditional support to each other. I will miss being part of this incredible leadership team. 🙏🏽🙏🏽
Congratulations to @EdgarDobriban who won the 2024 Peter Gavin Hall IMS Early Career Prize Read more here: imstat.org/2024/05/02/edg…
Students finished Stat111 exams yesterday. It was a delight to teach our 285 extraordinary Harvard students with Joe Blitzstein (@stat110). Special shout out to our wonderful TFs: below is some of them helping us grade last night. Your love of learning is inspiring.
Excited to share my team's github page, where we maintain: *did_multiplegt_dyn (Stata, R): *twowayfeweights (Stata, R) *did_multiplegt (Stata, R) To inquire about packages, post your Q in Issue section on GitHub page: your Q may help other users! github.com/chaisemartinPa…
Shouting a loud and proud congratulations to 2 of my @HarvardBiostats mentors this week!! @XihongLin was inducted to the National Academy of Sciences and @francescadomin8 was named Time’s 100 most influential people in health. Grateful for your guidance, support and leadership!🥳
(3/5) Specialists in micro/causal inference like @ArkhangelskyD, @asheshrambachan, @babii_andrii, @bruno_ferman, @CausalHuber, @CdeChaisemartin, @causalinf, @carolcaetanoUGA, @DaliaAGhanem, @emanresa82, @fabri_mealli, @jondr44, @paulgp, @pedrohcgs, @pengding00, @ProfEmilyOster,…
Congrats to @XihongLin for receiving the inaugural Founder's Award from @ASA_SSGG at #STATGEN2024!!! She has been a giant in the field but also selfless in service, establishing of an organization for statistical genomics! @AmstatNews @HarvardBiostats
Oh fun--berkeley open source food is on iNaturalist
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