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DTSTART;TZID=America/New_York:20251014T160000
DTEND;TZID=America/New_York:20251014T170000
DTSTAMP:20260505T234448
CREATED:20250929T152639Z
LAST-MODIFIED:20250929T210029Z
UID:856-1760457600-1760461200@pages.vassar.edu
SUMMARY:(Colloquium) Patrick Gambill\, Washington State University and Mitsubishi Electric Research Laboratories
DESCRIPTION:
URL:https://pages.vassar.edu/mathstats/event/colloquium-patrick-gambill-washington-state-university-and-mitsubishi-electric-research-laboratories/
LOCATION:Rockefeller Hall 200
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251008T160000
DTEND;TZID=America/New_York:20251008T170000
DTSTAMP:20260505T234448
CREATED:20250826T134309Z
LAST-MODIFIED:20250915T200204Z
UID:802-1759939200-1759942800@pages.vassar.edu
SUMMARY:(Colloquium) Adam Lowrance\, Vassar College
DESCRIPTION:
URL:https://pages.vassar.edu/mathstats/event/colloquium-adam-lowrance-vassar-college/
LOCATION:Rockefeller Hall 203
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251003T150000
DTEND;TZID=America/New_York:20251003T150000
DTSTAMP:20260505T234448
CREATED:20250905T153611Z
LAST-MODIFIED:20250917T143716Z
UID:809-1759503600-1759503600@pages.vassar.edu
SUMMARY:(LAVA) Anthony Cheng\, VC '23
DESCRIPTION:LAVA Talk on Learning how to learn: my journey from the classroom to doing research\, with Anthony Cheng (VC ’23)\, PhD Student\, University of Pennsylvania.  Friday\, October 3\, 2025 at 3PM in Rocky 310. \n \nAbout Anthony: \nAnthony Cheng is a Class of 2023 alum who studied applied math\, competed on the varsity swim team\, and played trumpet in the symphony orchestra while at Vassar. He enrolled in the engineering dual-degree program with Dartmouth\, studying mechanical engineering with a focus in dynamical systems. He continued at Dartmouth for another year of graduate research in fluid mechanics applied to glaciology contexts and defended his master’s thesis in July 2025. Now\, Anthony has started a PhD program at UPenn in Mechanical Engineering and Applied Mechanics\, with a focus in fluid mechanics applied to urban wind pattern sensing and reconstruction.
URL:https://pages.vassar.edu/mathstats/event/lava-anthony-cheng-vc-23/
LOCATION:Rockefeller Hall 310
CATEGORIES:LAVA,Student
ORGANIZER;CN="Ming An":MAILTO:mian@vassar.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250924T160000
DTEND;TZID=America/New_York:20250924T170000
DTSTAMP:20260505T234448
CREATED:20250805T160839Z
LAST-MODIFIED:20250915T200224Z
UID:781-1758729600-1758733200@pages.vassar.edu
SUMMARY:(Colloquium) Ron Buckmire\, Marist University
DESCRIPTION:Different Differences: An Introduction to Nonstandard Finite Difference Schemes \nFrom Calculus we know that a derivative of a function can be approximated using a\ndifference quotient. There are different forms of the difference quotient\, such as the\nforward difference (most common)\, backward difference (less common) and centered\ndifference (more accurate). In this talk I will discuss several different differences\,\nspecifically nonstandard finite differences (NFSD) that can be used to approximate the\nderivatives that appear in differential equations as a solution technique. Many NSFD\nschemes have been created\, discovered\, and promoted by Dr. Ronald E. Mickens\, an\nAfrican American Emeritus Professor of Physics at Clark Atlanta University\, who has\nwritten more than 300 research articles and a dozen books. I’ll provide examples of\nNSFD schemes that can be used to solve a wide variety of problems drawn from\nseveral different areas\, such as first-semester Calculus\, elementary ordinary differential\nequations\, and more advanced differential equations.
URL:https://pages.vassar.edu/mathstats/event/colloquium-ron-buckmire/
LOCATION:Rockefeller Hall 203
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250912T150000
DTEND;TZID=America/New_York:20250912T160000
DTSTAMP:20260505T234448
CREATED:20250805T161119Z
LAST-MODIFIED:20250805T161119Z
UID:786-1757689200-1757692800@pages.vassar.edu
SUMMARY:(Asprey) Terence Tao\, UCLA
DESCRIPTION:
URL:https://pages.vassar.edu/mathstats/event/asprey-terence-tao-ucla-2/
LOCATION:Rockefeller Hall 300
CATEGORIES:Asprey
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250911T170000
DTEND;TZID=America/New_York:20250911T180000
DTSTAMP:20260505T234448
CREATED:20250805T161046Z
LAST-MODIFIED:20250805T161129Z
UID:784-1757610000-1757613600@pages.vassar.edu
SUMMARY:(Asprey) Terence Tao\, UCLA
DESCRIPTION:
URL:https://pages.vassar.edu/mathstats/event/asprey-terence-tao-ucla/
LOCATION:Rockefeller Hall 300
CATEGORIES:Asprey
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250825T160000
DTEND;TZID=America/New_York:20250825T170000
DTSTAMP:20260505T234448
CREATED:20250825T160119Z
LAST-MODIFIED:20250825T160218Z
UID:796-1756137600-1756141200@pages.vassar.edu
SUMMARY:(Colloquium) Robyn Brooks\, University of Utah
DESCRIPTION:
URL:https://pages.vassar.edu/mathstats/event/colloquium-robyn-brooks-university-of-utah/
LOCATION:Rockefeller Hall 312
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250825T080000
DTEND;TZID=America/New_York:20250825T170000
DTSTAMP:20260505T234448
CREATED:20250825T160310Z
LAST-MODIFIED:20250825T160916Z
UID:798-1756108800-1756141200@pages.vassar.edu
SUMMARY:(Colloquium) Peter Oberly\, University of Rochester
DESCRIPTION:
URL:https://pages.vassar.edu/mathstats/event/colloquium-peter-oberly-university-of-rochester/
LOCATION:Rockefeller Hall 312
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250423T160000
DTEND;TZID=America/New_York:20250423T170000
DTSTAMP:20260505T234448
CREATED:20250116T013027Z
LAST-MODIFIED:20250122T212908Z
UID:717-1745424000-1745427600@pages.vassar.edu
SUMMARY:(Colloquium) Becca Thomases\, Smith College
DESCRIPTION:
URL:https://pages.vassar.edu/mathstats/event/colloquium-becca-thomases-smith-college/
LOCATION:Rockefeller Hall 300
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250417T160000
DTEND;TZID=America/New_York:20250417T170000
DTSTAMP:20260505T234448
CREATED:20250117T155707Z
LAST-MODIFIED:20250122T212854Z
UID:727-1744905600-1744909200@pages.vassar.edu
SUMMARY:(Colloquium) Jinyoung Park\, Courant Institute at NYU
DESCRIPTION:
URL:https://pages.vassar.edu/mathstats/event/colloquium-jinyoung-park-courant-institute-at-nyu/
LOCATION:Rockefeller Hall 300
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250403T160000
DTEND;TZID=America/New_York:20250403T170000
DTSTAMP:20260505T234448
CREATED:20250127T215031Z
LAST-MODIFIED:20250129T142901Z
UID:749-1743696000-1743699600@pages.vassar.edu
SUMMARY:(Colloquium) Katie Ellman-Aspnes\, Notre Dame University
DESCRIPTION:
URL:https://pages.vassar.edu/mathstats/event/colloquium-katie-ellman-aspnes-notre-dame-university/
LOCATION:Rockefeller Hall 300
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250324T160000
DTEND;TZID=America/New_York:20250324T170000
DTSTAMP:20260505T234448
CREATED:20250120T230116Z
LAST-MODIFIED:20250122T212839Z
UID:732-1742832000-1742835600@pages.vassar.edu
SUMMARY:(Colloquium) Tim Goldberg\, Lenoir–Rhyne University
DESCRIPTION:
URL:https://pages.vassar.edu/mathstats/event/colloquium-tim-goldberg-lenoir-rhyne-university/
LOCATION:Rockefeller Hall 312
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250225T160000
DTEND;TZID=America/New_York:20250225T170000
DTSTAMP:20260505T234448
CREATED:20250122T034021Z
LAST-MODIFIED:20250122T212821Z
UID:746-1740499200-1740502800@pages.vassar.edu
SUMMARY:(Colloquium) Andrew Schultz\, Wellesley College
DESCRIPTION:
URL:https://pages.vassar.edu/mathstats/event/colloquium-andrew-schultz-wellesley-college/
LOCATION:Rockefeller Hall 310
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250221T160000
DTEND;TZID=America/New_York:20250221T170000
DTSTAMP:20260505T234448
CREATED:20250116T012940Z
LAST-MODIFIED:20250122T212734Z
UID:715-1740153600-1740157200@pages.vassar.edu
SUMMARY:(Colloquium) Jamie Juul\, Colorado State University
DESCRIPTION:
URL:https://pages.vassar.edu/mathstats/event/colloquium-jamie-juul-colorado-state-university/
LOCATION:Rockefeller Hall 312
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250213T140000
DTEND;TZID=America/New_York:20250213T150000
DTSTAMP:20260505T234448
CREATED:20250121T161614Z
LAST-MODIFIED:20250121T161614Z
UID:740-1739455200-1739458800@pages.vassar.edu
SUMMARY:(Henry Seely White Lecture II)\, Xiao-Li Meng\, Harvard University
DESCRIPTION:Join us on Thursday February 13 at 2PM in Rocky 300 for the second of two Henry Seely White Lectures delivered by Professor Xiao-Li Meng\, Harvard University. \nNote:  This is the second of two lectures in the Henry Seely White Lecture Series. The first lecture is on Wednesday February 12 at 4PM. \nTitle: From a Cauchy Surprise to the Half-Cauchy Miracle \nAbstract: This talk follows the path from Pillai and Meng (2016\, Annals of Statistics)\, “An Unexpected Encounter with Cauchy and Lévy\,” to Liu\, Meng\, and Pillai (2025\, arXiv:2501.01065)\, “A Heavily Right Strategy for Integrating Dependent Studies in Any Dimension\,” inviting the audience to join a journey to explore an emerging and mystic force in statistical inference: heavy-tail approximations.
URL:https://pages.vassar.edu/mathstats/event/henry-seely-white-lecture-ii-xiao-li-meng-harvard-university/
LOCATION:Rockefeller Hall 300
CATEGORIES:Annual,HSW
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250212T160000
DTEND;TZID=America/New_York:20250212T170000
DTSTAMP:20260505T234448
CREATED:20250121T161343Z
LAST-MODIFIED:20250121T161712Z
UID:738-1739376000-1739379600@pages.vassar.edu
SUMMARY:(Henry Seely White Lecture I)\, Xiao-Li Meng\, Harvard University
DESCRIPTION:Join us on Wednesday February 12 at 4PM in Rocky 300 for the first of two Henry Seely White Lectures delivered by Professor Xiao-Li Meng\, Harvard University. \nNote: This is the first of two lectures in the Henry Seely White Lecture Series. The second lecture is on Thursday February 13 at 2PM. \nTitle: Learning\, Teaching\, and Communication in the Age of AI: Wisdom and Warnings from Harvard Data Science Review (Or: Are you smarter than GPT-4?)
URL:https://pages.vassar.edu/mathstats/event/henry-seely-white-lecture-i-xiao-li-meng-harvard-university/
LOCATION:Rockefeller Hall 300
CATEGORIES:Annual,HSW
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250131T160000
DTEND;TZID=America/New_York:20250131T170000
DTSTAMP:20260505T234448
CREATED:20250116T012851Z
LAST-MODIFIED:20250122T212741Z
UID:712-1738339200-1738342800@pages.vassar.edu
SUMMARY:(Colloquium) Austin MBaye\, Northeastern University
DESCRIPTION:
URL:https://pages.vassar.edu/mathstats/event/colloquium-austin-mbaye-northeastern-university/
LOCATION:Rockefeller Hall 312
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241207T100000
DTEND;TZID=America/New_York:20241207T180000
DTSTAMP:20260505T234448
CREATED:20241114T131417Z
LAST-MODIFIED:20241114T131717Z
UID:696-1733565600-1733594400@pages.vassar.edu
SUMMARY:The 85th Annual Putnam Competition
DESCRIPTION:Participate in the 85th Annual William Lowell Putnam Mathematical Competition. \nRegister here. \nFor more information: https://maa.org/putnam/ \nSaturday\, December 7\, 2024 in Rockefeller Hall\nThe Putnam Competition consists of a session A and a session B.\nSession A: 10 am – 1 pm\nSession B: 3 pm – 6 pm.
URL:https://pages.vassar.edu/mathstats/event/the-85th-annual-putnam-competition/
CATEGORIES:Student
ORGANIZER;CN="Lisa Lowrance":MAILTO:llowrance@vassar.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241204T160000
DTEND;TZID=America/New_York:20241204T170000
DTSTAMP:20260505T234448
CREATED:20240908T234048Z
LAST-MODIFIED:20241010T233006Z
UID:629-1733328000-1733331600@pages.vassar.edu
SUMMARY:(Colloquium) Nikolas Schonsheck (VC '15)\, Rockefeller University
DESCRIPTION:
URL:https://pages.vassar.edu/mathstats/event/colloquium-nikolas-schonsheck-vc-15-rockefeller-university/
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241122T160000
DTEND;TZID=America/New_York:20241122T170000
DTSTAMP:20260505T234448
CREATED:20241010T134315Z
LAST-MODIFIED:20250122T212747Z
UID:647-1732291200-1732294800@pages.vassar.edu
SUMMARY:(Colloquium) Ivan Cheltsov\, University of Edinburgh
DESCRIPTION:
URL:https://pages.vassar.edu/mathstats/event/colloquium-ivan-cheltsov-university-of-edinburgh/
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241118T160000
DTEND;TZID=America/New_York:20241118T170000
DTSTAMP:20260505T234448
CREATED:20241117T034318Z
LAST-MODIFIED:20241117T034343Z
UID:703-1731945600-1731949200@pages.vassar.edu
SUMMARY:(Colloquium) Federica Ricci\, University of California\, Irvine
DESCRIPTION:Colloquium Talk\nFederica Ricci\, University of California\, Irvine\nMonday November 18\, 2024 at 4:00PM\nRocky 312 \nTitle: Statistical modeling of sparse networks\n\nAbstract: The study of scientific and social phenomena often requires modeling data in the form of networks\, i.e. the set of interactions between entities like proteins\, neurons or people. Statistical models provide ways to address important questions\, including why some entities are connected but not others\, and whether there are interactions that have not been observed. In this talk\, I will present my work on developing a class of models that can discover an unobserved set of clusters (or communities) among interacting entities and that can learn the number of clusters from data. Unlike previous approaches with those properties\, the proposed framework can model sparse networks. Capturing sparsity is especially important when dealing with large networks: for example\, in online social networks\, someone’s connections grow much slower than linearly with the number of users. I will summarize a posterior-inference method based on Markov Chain Monte Carlo and I will show the advantages of this approach on a set of social and biological networks.
URL:https://pages.vassar.edu/mathstats/event/colloquium-federica-ricci-university-of-california-irvine/
LOCATION:Rockefeller Hall 312
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241115T180000
DTEND;TZID=America/New_York:20241115T200000
DTSTAMP:20260505T234448
CREATED:20241114T130312Z
LAST-MODIFIED:20241114T130312Z
UID:689-1731693600-1731700800@pages.vassar.edu
SUMMARY:Math Jam - Fall 2024
DESCRIPTION:Vassar Students: Run a station at the Math Jam working with 2nd-8th graders.  Sign up here to volunteer. \nLocal community: Sign up here to register your 2nd-8th grader. \nNovember 15\, 2024 from 6-8 pm at the Aula/Ely Hall
URL:https://pages.vassar.edu/mathstats/event/math-jam-fall-2024/
LOCATION:The Aula
CATEGORIES:Student
ORGANIZER;CN="Lisa Lowrance":MAILTO:llowrance@vassar.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241115T163000
DTEND;TZID=America/New_York:20241115T173000
DTSTAMP:20260505T234448
CREATED:20241112T224905Z
LAST-MODIFIED:20241112T224911Z
UID:679-1731688200-1731691800@pages.vassar.edu
SUMMARY:(Colloquium) Andrew Ackerman\, University of North Carolina at Chapel Hill
DESCRIPTION:Colloquium Talk\nAndrew Ackerman\, University of North Carolina at Chapel Hill\nFriday November 15\, 2024 at 4:30PM\nRocky 312 \nTitle: Measures of Fairness and High Dimensional Data Integration \nAbstract:The first component of this talk will present a representative discussion from a novel course\, entitled Moral Machine Learning\, developed at the University of North Carolina at Chapel Hill. In particular\, we motivate and introduce statistical measures of fairness used to assess classification algorithms. This discussion will culminate in an Incompleteness Theorem\, which demonstrates that these measures are\, in some fundamental way\, not totally reconcilable. How to assess fairness despite this incompleteness result will motivate open questions discussed at the conclusion of the second component of this talk. This latter component will primarily be focused on original research. We present completed work for high dimensional data integration for human neuroscience. In particular\, neuroimaging studies\, such as the Human Connectome Project (HCP)\, often collect multifaceted data to study the complex human brain. However\, these data are often analyzed in a pairwise fashion\, which can hinder our understanding of how different brain-related measures interact. In this study\, we analyze the multi-block HCP data using the Data Integration via Analysis of Subspaces (DIVAS) method. We integrate structural and functional brain connectivity\, substance use\, cognition\, and genetics in an exhaustive five-block analysis. This gives rise to the important finding that genetics is the single data modality most predictive of brain connectivity\, outside of brain connectivity itself. Moreover\, investigations of shared space loadings provide interpretable associations between particular brain regions and drivers of variability\, such as alcohol consumption in the substance-use data block. Novel Jackstraw hypothesis tests are developed for the DIVAS framework to establish statistically significant loadings. We conclude by discussing proposed future work\, at both the faculty and undergraduate levels\, in each of data integration and algorithmic fairness.
URL:https://pages.vassar.edu/mathstats/event/colloquium-andrew-ackerman-university-of-north-carolina-at-chapel-hill/
LOCATION:Rockefeller Hall 310
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241115T150000
DTEND;TZID=America/New_York:20241115T160000
DTSTAMP:20260505T234448
CREATED:20240908T231641Z
LAST-MODIFIED:20241101T004108Z
UID:616-1731682800-1731686400@pages.vassar.edu
SUMMARY:(LAVA) Robert Ronan\, VC '15
DESCRIPTION:LAVA Talk on Transitioning From Math To Machine Learning By Mistake (Or Necessity)\, with Robert Ronan (VC ’15)\, NYU Langone Health.  Friday\, November 15\, 2024 at 3PM in Rocky 310. \n \nAbout Robert:\n\nRobert Ronan\, VC ’15\, is a machine learning engineer at the cardiology department of NYU Langone Health\, where he leads the department’s machine learning and data hub efforts. His work involves employing deep learning models to detect patterns in EKGs that clinicians cannot easily identify\, enabling improved clinical decision support\, and predictive utility of EKGs. Robert holds master’s degrees in computer science and mathematics from NYU Tandon School of Engineering and The CUNY Graduate Center\, respectively\, and a bachelor’s in mathematics from Vassar College. In his free time\, he is an amateur mixologist and an extensive collector of vintage amaro\, a style of Italian liqueur.
URL:https://pages.vassar.edu/mathstats/event/lava-robert-ronan-vc-15/
CATEGORIES:LAVA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241114T153000
DTEND;TZID=America/New_York:20241114T163000
DTSTAMP:20260505T234448
CREATED:20241001T235901Z
LAST-MODIFIED:20241113T165503Z
UID:641-1731598200-1731601800@pages.vassar.edu
SUMMARY:(Colloquium) Joshua Snoke\, RAND Corporation
DESCRIPTION:
URL:https://pages.vassar.edu/mathstats/event/colloquium-joshua-snoke-rand-corporation/
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241111T153000
DTEND;TZID=America/New_York:20241111T163000
DTSTAMP:20260505T234448
CREATED:20241114T004216Z
LAST-MODIFIED:20241114T004320Z
UID:681-1731339000-1731342600@pages.vassar.edu
SUMMARY:Pre-Registration Q&A
DESCRIPTION:Have questions about which Math/Stats courses to take next semester?  Come enjoy some free cider and donuts and chat with faculty and students! \nMonday\, November 11\, 3:30PM in the Rocky 3rd Floor Hallway
URL:https://pages.vassar.edu/mathstats/event/pre-registration-qa/
CATEGORIES:Student
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241028T160000
DTEND;TZID=America/New_York:20241028T170000
DTSTAMP:20260505T234448
CREATED:20240908T232033Z
LAST-MODIFIED:20241010T233055Z
UID:626-1730131200-1730134800@pages.vassar.edu
SUMMARY:(Colloquium) Zheng Bian (VC '17)\, Clarkson University
DESCRIPTION:
URL:https://pages.vassar.edu/mathstats/event/colloquium-zheng-bian-vc-17-clarkson-university/
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241025T150000
DTEND;TZID=America/New_York:20241025T160000
DTSTAMP:20260505T234448
CREATED:20240908T230500Z
LAST-MODIFIED:20241101T004126Z
UID:614-1729868400-1729872000@pages.vassar.edu
SUMMARY:(LAVA) Tony Caletti\, VC '18
DESCRIPTION:LAVA Talk on Data Science\, with Tony Caletti (VC ’18)\, Doorh Dash.  Friday\, October 25\, 2024 at 3PM in Rocky 312. \n \nAbout Tony:\n \nTony Caletti will discuss his career working as a data analyst and data scientist in the tech industry. While working for DraftKings and DoorDash\, he has focused on A/B testing\, marketing optimization\, opportunity analysis\, causal inference\, and predictive modeling. He’ll share tips for how to develop an analytical mindset\, what skills are helpful to get a job\, the value of technical vs soft skills\, and his opinion on the differences between data engineering\, analytics\, data science\, and machine learning.
URL:https://pages.vassar.edu/mathstats/event/lava-tony-caletti-vc-18/
CATEGORIES:LAVA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241022T160000
DTEND;TZID=America/New_York:20241022T170000
DTSTAMP:20260505T234448
CREATED:20240908T231901Z
LAST-MODIFIED:20241010T233125Z
UID:623-1729612800-1729616400@pages.vassar.edu
SUMMARY:(Colloquium) Dean Spyropoulos (VC '19)\, Michigan State University
DESCRIPTION:
URL:https://pages.vassar.edu/mathstats/event/colloquium-dean-spyropoulos-vc-19-michigan-state-university/
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20241004
DTEND;VALUE=DATE:20241005
DTSTAMP:20260505T234448
CREATED:20240908T231747Z
LAST-MODIFIED:20240927T184611Z
UID:621-1728000000-1728086399@pages.vassar.edu
SUMMARY:(Colloquium) Jeff Goldsmith\, Columbia University
DESCRIPTION:Wearable Devices in Public Health Research \nFriday\, October 4th at 4pm in Rocky 310 \nIn the last ten years\, technological advances have made many activity- and physiology-monitoring wearable devices available for use in both clinical trials and large-scale epidemiological studies. This trend will continue and even expand as devices become cheaper and more reliable. These developments open up a tremendous opportunity for clinical and public health researchers to collect critical data at an unprecedented level of detail\, while posing new challenges for statistical analysis of rich\, complex data. This talk will present a collection of examples and analysis approaches that use accelerometer data\, including activity classification; identifying and interpreting variability in activity trajectories; building regression models in which activity trajectories are the response; and understanding shifts in the circadian rhythms that underlie the timing of activity. We’ll draw on several applications\, including the Baltimore Longitudinal Study of Aging and data collected through the Columbia Center for Children’s Environmental Health.
URL:https://pages.vassar.edu/mathstats/event/colloquium-jeff-goldsmith-columbia-university/
CATEGORIES:Colloquium
END:VEVENT
END:VCALENDAR