Tootfinder

I'll be Riding the Cyclone again July 11th if anyone wants to join.
https://nctcsf.org/event/ride-the-cyclone-returns

Ride the Cyclone Returns!

A Compact Cycle Formulation for the Multiperiodic Event Scheduling Problem
Rolf Nelson van Lieshout, Niels Lindner
https://arxiv.org/abs/2507.17566 https://

A Compact Cycle Formulation for the Multiperiodic Event Scheduling Problem
The Periodic Event Scheduling Problem (PESP) is a fundamental model in periodic timetabling for public transport systems, assuming a common period across all events. However, real-world networks often feature heterogeneous service frequencies. This paper studies the Multiperiodic Event Scheduling Problem (MPESP), a generalization of PESP that allows each event to recur at its own individual period. While more expressive, MPESP presents new modeling challenges due to the loss of a global period.…

Thinking about this 1997 Edmund White quote on Fresh Air today, talking about casual gay sex in the 1970s.
Nor did all this sex preclude intimacy. For those who never lived through that period, and most of those who did, are dead, the phrase "anonymous sex" might suggest unfeeling sex, devoid of emotion. And yet, as I can attest, to hole up in a room at the baths with a body, after having opened it up and wrung it dry, to lie, head propped on a guy's stomach just where the tan line bisects it, smoke a cigarette, and talk to him late into the night and early into the morning about your childhood, his unhappiness and love, your money worries, his plans for the future. Well, nothing is more personal, more emotional.
(This is him reading a quote from his novel The Farewell Symphony)

Identification of Causal Effects with a Bunching Design
Carolina Caetano, Gregorio Caetano, Leonard Goff, Eric Nielsen
https://arxiv.org/abs/2507.05210 htt…

Identification of Causal Effects with a Bunching Design
We show that causal effects can be identified when there is bunching in the distribution of a continuous treatment variable, without imposing any parametric assumptions. This yields a new nonparametric method for overcoming selection bias in the absence of instrumental variables, panel data, or other popular research designs for causal inference. The method leverages the change of variables theorem from integration theory, relating the selection bias to the ratio of the density of the treatment…