BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Mathematical Sciences - ECPv6.16.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Mathematical Sciences
X-ORIGINAL-URL:https://uwm.edu/math
X-WR-CALDESC:Events for Mathematical Sciences
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20240310T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20241103T070000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20250309T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20251102T070000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20260308T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20261101T070000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250807T140000
DTEND;TZID=America/Chicago:20250807T160000
DTSTAMP:20260614T181332
CREATED:20250725T141802Z
LAST-MODIFIED:20250730T151929Z
UID:10016230-1754575200-1754582400@uwm.edu
SUMMARY:PhD Dissertation Defense: Mr. Joe Paulson
DESCRIPTION:Theory of Z_n – Structures\nMr. Joe Paulson\nGraduate Student\nUniversity of Wisconsin-Milwaukee \nIn this defense\, we discuss the boundaries of Type F_n groups; those being groups whose K(G\,1) complex has a finite n-skeleton. The boundaries we develop extend the notion of Z-boundaries to what we call Z_n-boundaries. This extension centers around groups no longer acting geometrically on contractible spaces\, but instead n-connected spaces. Immediately this means the major theorems of “Boundary Swapping” and “Shape Equivalence of Z-Boundaries” will need revision\, but a more subtle point to be discussed is that the category of spaces must also be generalized. \nAfter discussing the foundation work for a theory of Z_n-boundaries\, we end with an exploration how these new structures can be related to other well-known compactifications such as the one-point compactification\, end-point compactification\, and Z-compactifications. \nAdvisor:\nCraig Guilbault \nCommittee Members:\nBoris Okun\, Chris Hruska\, Jonah Gaster\, and Pamela Harris
URL:https://uwm.edu/math/event/phd-dissertation-defense-mr-joe-paulson/
LOCATION:EMS Building\, Room E408\, E408; 3200 N Cramer St.\, Milwaukee\, WI\, 53211\, United States
CATEGORIES:Graduate Student Defenses
ORGANIZER;CN="The Department of Mathematical Sciences":MAILTO:math-staff@uwm.edu
X-TRIBE-STATUS:
GEO:43.0758771;-87.8858312
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=EMS Building Room E408 E408; 3200 N Cramer St. Milwaukee WI 53211 United States;X-APPLE-RADIUS=500;X-TITLE=E408; 3200 N Cramer St.:geo:-87.8858312,43.0758771
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250808T140000
DTEND;TZID=America/Chicago:20250808T160000
DTSTAMP:20260614T181332
CREATED:20250808T010452Z
LAST-MODIFIED:20250808T010452Z
UID:10016232-1754661600-1754668800@uwm.edu
SUMMARY:PhD Dissertation Defense: Mr. Shenyan Pan
DESCRIPTION:Doubly Stochastic Model With Covariates For Replicated Poisson Point Processes\nMr. Shenyan Pan\nGraduate Student\nUniversity of Wisconsin-Milwaukee \nPoisson point processes (PPPs) are powerful tools for modeling random point occurrences in multidimensional spaces\, with applications across various fields. Although the traditional literature has focused on single realizations\, replicated point processes are becoming increasingly common due to the growing availability of complex data. This dissertation develops a doubly stochastic model for replicated PPPs that incorporates covariates\, extending latent component models to capture external effects. The proposed model expresses the log-intensity function as the sum of a mean function and latent component scores that vary with covariates. To ensure identifiability\, component scores are constrained to be zero-mean and uncorrelated via centering and orthogonality. Parameter estimation is performed using penalized maximum likelihood\, employing Newton–Raphson updates and the Laplace approximation for conditional distributions. Simulation studies assess the model’s stability across various covariate structures (linear and nonlinear)\, baseline rates\, and sample sizes. The results demonstrate decreasing error with increasing sample size\, confirming the estimators’ consistency. The model is applied to real data from the Divvy bicycle-sharing system in Chicago\, analyzing daily usage at a representative station. The results reveal a nonlinear relationship between temperature and ridership\, with peak usage occurring at moderate temperatures and declines observed under extreme heat or cold. This modeling framework improves the interpretability and predictive accuracy of PPPs with covariates\, offering practical insights for applications such as fleet allocation in bicycle-sharing systems. \nAdvisor:\nProf. Daniel Gervini \nCommittee Members:\nProf. Lei Wang\, Prof. Chao Zhu\, Prof. David Spade\, and Prof. Vytaras Brazauskas \nLink to Event
URL:https://uwm.edu/math/event/phd-dissertation-defense-mr-shenyan-pan/
LOCATION:https://teams.microsoft.com/l/meetup-join/19%3aCQyl6Y73Ps7zxWXrM3dRP8rS7Q89Bvw2sceTNhSLlUw1%40thread.tacv2/1754451851629?context=%7b%22Tid%22%3a%220bca7ac3-fcb6-4efd-89eb-6de97603cf21%22%2c%22Oid%22%3a%2234947e74-60a7-40f3-ae30-4a6cd4dc57b7%22%7d
CATEGORIES:Graduate Student Defenses
ORGANIZER;CN="The Department of Mathematical Sciences":MAILTO:math-staff@uwm.edu
X-TRIBE-STATUS:
END:VEVENT
END:VCALENDAR