User profiles for P. Bossaerts
Peter bossaertsUniversity of Cambride Verified email at rioja.caltech.edu Cited by 12342 |
Explicit neural signals reflecting reward uncertainty
… probability of reward p (dashed line). Expected reward is minimal at p=0 and maximal at p=1. …
U function of probability and is minimal at p=0 and 1 and maximal at p=0.5 (solid curve). …
U function of probability and is minimal at p=0 and 1 and maximal at p=0.5 (solid curve). …
Neural antecedents of financial decisions
B Knutson, P Bossaerts - Journal of Neuroscience, 2007 - Soc Neuroscience
To explain investing decisions, financial theorists invoke two opposing metrics: expected
reward and risk. Recent advances in the spatial and temporal resolution of brain imaging …
reward and risk. Recent advances in the spatial and temporal resolution of brain imaging …
Computational complexity and human decision-making
P Bossaerts, C Murawski - Trends in cognitive sciences, 2017 - cell.com
… While it is the case that P is a subset of NP, by definition, it is still an open question whether
P is a proper subset of NP (ie, is strict or not), which is referred to as the ‘Does P equal NP?’ …
P is a proper subset of NP (ie, is strict or not), which is referred to as the ‘Does P equal NP?’ …
Human insula activation reflects risk prediction errors as well as risk
K Preuschoff, SR Quartz, P Bossaerts - Journal of Neuroscience, 2008 - Soc Neuroscience
… , let P 1 denote the expected reward conditional on the number on card 1, and P 2 the
actual reward, revealed on display of card 2. Before display of card 1, the task is to predict P 1 ; …
actual reward, revealed on display of card 2. Before display of card 1, the task is to predict P 1 ; …
[PDF][PDF] Neural differentiation of expected reward and risk in human subcortical structures
K Preuschoff, P Bossaerts, SR Quartz - Neuron, 2006 - cell.com
… is minimal at p = 0 and maximal at p = 1. Risk, … p = 0 and p = 1 and maximal at p = 0.5 (solid
line). As such, expected reward and risk are orthogonal over the full range of probabilities, p …
line). As such, expected reward and risk are orthogonal over the full range of probabilities, p …
Implementing statistical criteria to select return forecasting models: what do we learn?
P Bossaerts, P Hillion - The Review of Financial Studies, 1999 - academic.oup.com
Statistical model selection criteria provide an informed choice of the model with best external
(ie, out-of-sample) validity. Therefore they guard against overfitting (“data snooping”). We …
(ie, out-of-sample) validity. Therefore they guard against overfitting (“data snooping”). We …
Ambiguity in asset markets: Theory and experiment
P Bossaerts, P Ghirardato… - The Review of …, 2010 - academic.oup.com
This paper studies the impact of ambiguity and ambiguity aversion on equilibrium asset
prices and portfolio holdings in competitive financial markets. It argues that attitudes toward …
prices and portfolio holdings in competitive financial markets. It argues that attitudes toward …
Neural correlates of mentalizing-related computations during strategic interactions in humans
AN Hampton, P Bossaerts… - Proceedings of the …, 2008 - National Acad Sciences
Competing successfully against an intelligent adversary requires the ability to mentalize an
opponent's state of mind to anticipate his/her future behavior. Although much is known about …
opponent's state of mind to anticipate his/her future behavior. Although much is known about …
The role of the ventromedial prefrontal cortex in abstract state-based inference during decision making in humans
AN Hampton, P Bossaerts… - Journal of …, 2006 - Soc Neuroscience
Many real-life decision-making problems incorporate higher-order structure, involving
interdependencies between different stimuli, actions, and subsequent rewards. It is not known …
interdependencies between different stimuli, actions, and subsequent rewards. It is not known …
Neural correlates of value, risk, and risk aversion contributing to decision making under risk
… We used small-volume correction with family-wise error controlled at p < 0.05 for the analysis
for value and risk. Because previous studies (described in Introduction) have implicated …
for value and risk. Because previous studies (described in Introduction) have implicated …