Results 101 to 110 of about 16,825 (201)

Estimating Treatment Effects With Limited Exogeneity: A Machine Learning Approach to Selection Bias

open access: yesInternational Studies of Economics, Volume 21, Issue 1, Page 2-8, March 2026.
ABSTRACT This paper presents a novel method for estimating treatment effects in cases where prior knowledge of the exogeneity of the treatment variable is limited. We employ a machine learning technique, double selection via Lasso, to identify a robust set of control variables without requiring prior assumptions about their specific identities or ...
Rui Sun, Shiyi Chen
wiley   +1 more source

Overplacement and Market Entry Decisions: A Modified Market Entry Game to Detect Nascent Entrepreneurs' Goal‐Motivated Reasoning Amid Radical Uncertainties

open access: yesStrategic Change, Volume 35, Issue 2, Page 163-175, March 2026.
ABSTRACT Overplacement, a form of overconfidence characterized by the distorted belief that one is better than others, is considered a key driver of nascent entrepreneurship. The entrepreneurship literature typically associates entrepreneurial overplacement with negative outcomes and attributes it to erroneous information processing. The potential role
Zsófia Vörös   +2 more
wiley   +1 more source

Behavioral Law and Economics [PDF]

open access: yes
Behavioral economics has been a growing force in many fields of applied economics, including public economics, labor economics, health economics, and law and economics.
Christine Jolls
core  

Two Tales of Uncertainty: Calibrating Overprecision With Self‐Regulated Entrepreneurial Learning

open access: yesStrategic Change, Volume 35, Issue 2, Page 273-285, March 2026.
ABSTRACT Entrepreneurial success strongly depends on decision‐making under uncertainty. Uncertainty is particularly pronounced when entrepreneurs are confronted with novel situations characterized by an absence of information. While cognitive biases, such as overprecision, can have a negative impact on decision‐making processes by distorting ...
Julian Kolbe   +2 more
wiley   +1 more source

Cognitive Debiasing Strategies: A Faculty Development Workshop for Clinical Teachers in Emergency Medicine

open access: yesMedEdPORTAL, 2017
Introduction Medical decision-making is a cornerstone of clinical care and a key contributor to diagnostic accuracy. Medical decision-making occurs via two primary pathways: System 1, pattern recognition, is fast, intuitive, and heuristically driven and ...
Michelle Daniel   +10 more
doaj   +1 more source

Colonial Bias in AI Training Data: Prompting Sora to Generate Images of Aotearoa New Zealand's Historical Past

open access: yesKōtuitui: New Zealand Journal of Social Sciences Online, Volume 21, Issue 1, March 2026.
This paper examines how generative artificial intelligence (AI) reproduces colonial visual tropes when tasked with representing Aotearoa New Zealand's historical past. Using OpenAI's Sora as a case study, the analysis investigates AI‐generated images prompted to depict (1) precolonial landscapes, (2) first contact between Māori and Europeans, (3 ...
Olli Hellmann
wiley   +1 more source

Debiased Distribution Compression

open access: yes
Published at ICML ...
Li, Lingxiao   +2 more
openaire   +2 more sources

Temperature Mapping During MR‐Guided Cryoablation Using a FLORET UTE Sequence

open access: yesMagnetic Resonance in Medicine, Volume 95, Issue 3, Page 1653-1659, March 2026.
ABSTRACT Purpose To implement a three‐dimensional FLORET‐UTE sequence for rapid MR thermometry during cryoablation and to validate voxel‐wise temperature maps against fiber‐optic probes in ex vivo bovine liver. Methods A FLORET‐UTE trajectory (TE 50 μs, 1.6 mm isotropic, 18 s/volume) was executed on a 3 T scanner while dry‐ice cryoablation was applied ...
Moritz Gutt   +6 more
wiley   +1 more source

Free energy Sequential Monte Carlo, application to mixture modelling

open access: yes, 2010
We introduce a new class of Sequential Monte Carlo (SMC) methods, which we call free energy SMC. This class is inspired by free energy methods, which originate from Physics, and where one samples from a biased distribution such that a given function $\xi(
Chopin, Nicolas, Jacob, Pierre
core   +1 more source

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