Results 181 to 190 of about 6,398 (252)
Do robots boost productivity? A quantitative meta‐study
ABSTRACT This meta‐study analyzes the productivity effects of industrial robots. More than 1800 estimates from 85 primary studies are collected. The meta‐analytic evidence suggests that robotization has so far provided, at best, a small boost to productivity. There is strong evidence of publication bias in the positive direction.
Florian Schneider
wiley +1 more source
Saddlepoint inference for rank-based k-sample tests in clustered survival trials. [PDF]
Newer HA.
europepmc +1 more source
Econometrics at the Extreme: From Quantile Regression to QFAVAR1
ABSTRACT This paper surveys quantile modelling from its theoretical origins to current advances. We organize the literature and present core econometric formulations and estimation methods for: (i) cross‐sectional quantile regression; (ii) quantile time series models and their time series properties; (iii) quantile vector autoregressions for ...
Stéphane Goutte +4 more
wiley +1 more source
ABSTRACT Leafcutter ants farm the domesticated fungal cultivar Leucoagaricus gongylophorus in subterranean nests containing up to hundreds of discrete garden chambers. The fungal cultivar produces edible symbiotic structures called gongylidia (nutritious swollen hyphal cells consumed by the ants) and expresses a form of polyploidy (multiple ...
Asta Rødsgaard‐Jørgensen +3 more
wiley +1 more source
Calibration Transfer Based on Nonparametric Varying Coefficient Regression. [PDF]
Guo J +13 more
europepmc +1 more source
Summary Volatile organic compounds (VOCs) emitted by soil bacteria influence interactions with other soil microbes and plants. While their potential as plant growth promoters is well recognized, their role in promoting plant resilience to abiotic stress and the underlying molecular mechanisms remain poorly understood.
Zulema Carracedo Lorenzo +11 more
wiley +1 more source
Deep learning for the change-point Cox model with current status data. [PDF]
Huang Q, Feng A, Wu Q, Tong X.
europepmc +1 more source
ABSTRACT Artificial intelligence (AI) is reshaping national economies, yet country‐level AI–macro relationships remain poorly understood. Using annual data for the United States and China, 1980–2020, we develop a four‐layer triangulation framework—Pattern Causality, Granger causality, VECM‐based cointegration, and lead–lag correlation—to map ...
Pengyu Liu +6 more
wiley +1 more source
SEMIPARAMETRIC ANALYSIS OF INTERVAL-CENSORED DATA SUBJECT TO INACCURATE DIAGNOSES WITH A TERMINAL EVENT. [PDF]
Deng Y, Zeng D, Wang Y.
europepmc +1 more source

