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pro vyhledávání: '"Paulson, Elisabeth"'
Motivated by our collaboration with a major refugee resettlement agency in the U.S., we study a dynamic matching problem where each new arrival (a refugee case) must be matched immediately and irrevocably to one of the static resources (a location wi
Externí odkaz:
http://arxiv.org/abs/2410.22992
We address a core problem in causal inference: estimating heterogeneous treatment effects using panel data with general treatment patterns. Many existing methods either do not utilize the potential underlying structure in panel data or have limitatio
Externí odkaz:
http://arxiv.org/abs/2406.05633
Many existing approaches for generating predictions in settings with distribution shift model distribution shifts as adversarial or low-rank in suitable representations. In various real-world settings, however, we might expect shifts to arise through
Externí odkaz:
http://arxiv.org/abs/2306.02948
Ensuring that refugees and asylum seekers thrive (e.g., find employment) in their host countries is a profound humanitarian goal, and a primary driver of employment is the geographic location within a host country to which the refugee or asylum seeke
Externí odkaz:
http://arxiv.org/abs/2301.10642
Autor:
Paulson, Elisabeth
In the U.S., about 19 million people reside in low income food deserts--neighborhoods where the majority of the population does not have access to large grocery stores. These areas are associated with less healthy diets and higher rates of poor healt
Autor:
Bansak, Kirk, Paulson, Elisabeth
This study proposes two new dynamic assignment algorithms to match refugees and asylum seekers to geographic localities within a host country. The first, currently implemented in a multi-year randomized control trial in Switzerland, seeks to maximize
Externí odkaz:
http://arxiv.org/abs/2007.03069
Akademický článek
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In this paper, we study the problem of determining a minimum state probabilistic finite state machine capable of generating statistically identical symbol sequences to samples provided. This problem is qualitatively similar to the classical Hidden Ma
Externí odkaz:
http://arxiv.org/abs/1501.01300
Publikováno v:
In European Journal of Operational Research 16 July 2016 252(2):610-622
Algorithmic assignment of refugees and asylum seekers to locations within host countries has gained attention in recent years, with implementations in the US and Switzerland. These approaches use data on past arrivals to generate machine learning mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c9580eff0967abd68f3482c24e7d751