Zobrazeno 1 - 10
of 201
pro vyhledávání: '"Böttcher, Lucas"'
Gathering observational data for medical decision-making often involves uncertainties arising from both type I (false positive)and type II (false negative) errors. In this work, we develop a statistical model to study how medical decision-making can
Externí odkaz:
http://arxiv.org/abs/2409.16442
Collective decision-making is the process through which diverse stakeholders reach a joint decision. Within societal settings, one example is participatory budgeting, where constituents decide on the funding of public projects. How to most efficientl
Externí odkaz:
http://arxiv.org/abs/2409.13236
Autor:
Böttcher, Lucas, Klingebiel, Ronald
Publikováno v:
Organization Science (2024)
Budgetary constraints force organizations to pursue only a subset of possible innovation projects. Identifying which subset is most promising is an error-prone exercise, and involving multiple decision makers may be prudent. This raises the question
Externí odkaz:
http://arxiv.org/abs/2405.09843
Autor:
Böttcher, Lucas, Wheeler, Gregory
Publikováno v:
Order, Disorder and Criticality, pp. 117-161 (2024)
The field of neuroscience and the development of artificial neural networks (ANNs) have mutually influenced each other, drawing from and contributing to many concepts initially developed in statistical mechanics. Notably, Hopfield networks and Boltzm
Externí odkaz:
http://arxiv.org/abs/2405.10957
The objective of personalized medicine is to tailor interventions to an individual patient's unique characteristics. A key technology for this purpose involves medical digital twins, computational models of human biology that can be personalized and
Externí odkaz:
http://arxiv.org/abs/2403.13851
The vision of personalized medicine is to identify interventions that maintain or restore a person's health based on their individual biology. Medical digital twins, computational models that integrate a wide range of health-related data about a pers
Externí odkaz:
http://arxiv.org/abs/2402.05750
Autor:
Böttcher, Lucas, Porter, Mason A.
The structure of a network has a major effect on dynamical processes on that network. Many studies of the interplay between network structure and dynamics have focused on models of phenomena such as disease spread, opinion formation and changes, coup
Externí odkaz:
http://arxiv.org/abs/2401.00735
The drug overdose crisis in the United States continues to intensify. Fatalities have increased five-fold since 1999 reaching a record high of 108,000 deaths in 2021. The epidemic has unfolded through distinct waves of different drug types, uniquely
Externí odkaz:
http://arxiv.org/abs/2309.14452
Autor:
Böttcher, Lucas
Ensemble Kalman inversion (EKI) is a sequential Monte Carlo method used to solve inverse problems within a Bayesian framework. Unlike backpropagation, EKI is a gradient-free optimization method that only necessitates the evaluation of artificial neur
Externí odkaz:
http://arxiv.org/abs/2307.07882