Results 181 to 190 of about 31,221,148 (284)

Lost in Aggregation: Quantifying Measurement Error from Geographic Centroids

Economic Record, EarlyView.
Due to privacy laws and regulations, microdata typically provide regional identifiers rather than exact coordinates. Researchers therefore often construct spatial variables from these aggregations, but the statistical implications depend on the research setting.
Ali Furkan Kalay, Henry Wen
wiley   +1 more source

Proxy-Based Diagnostics of Quantum Oracle Sketching Robustness for Non-IID Sensor and Telemetry Streams. [PDF]

Sensors (Basel)
Farsi M, Mahmoud M, Helmy A.
europepmc   +1 more source

Graph‐Laplacian modeling of spatiotemporal effects for house price estimation

Real Estate Economics, EarlyView.
Abstract Many variables involve the modeling of spatial effects, and their dynamics over time. This article presents a linear model in which spatiotemporal random effects are modeled by graph‐Laplacians. A graph‐Laplacian flexibly encodes adjacency in both space and time, in our case not depending on unknown parameters. The graph‐Laplacian can be input
Willem P Sijp, Marc K. Francke
wiley   +1 more source

Limited structural reliability in public educational prediction benchmarks: a four-dimension audit of seven datasets. [PDF]

Sci Rep
Ma Y, Zhang L.
europepmc   +1 more source

Evolutionary and Epidemiological Characterization of Multidrug‐Resistant Escherichia coli Isolated From Pangolins in China

Integrative Zoology, EarlyView.
ABSTRACT Malayan pangolin populations have fallen to a critically endangered level, and illegal trafficking of wild pangolins is a global problem. Little is known about antimicrobial‐resistant bacteria (MDRB) harbored by pangolins, although pangolins are frequently consumed as food or used in traditional medicine. In this study, we report for the first
Yawen Wang, Xue Wang, Jianan Zhao, Jun Zeng, Shijia Hu, Fang Ji, Guoying Dong, Hongxuan He, Chengmin Wang   +8 more
wiley   +1 more source

TeleZK-FL: enabling trustless and verifiable remote patient monitoring via quantized zero-knowledge federated learning. [PDF]

Front Digit Health
Jayaraman P, Delhibabu R.
europepmc   +1 more source

Demand Estimation with Text and Image Data

The RAND Journal of Economics, EarlyView.
ABSTRACT We propose a demand estimation approach that leverages unstructured data to infer substitution patterns. Using pre‐trained deep learning models, we extract embeddings from product images and textual descriptions and incorporate them into a mixed logit demand model.
Giovanni Compiani, Ilya Morozov, Stephan Seiler   +2 more
wiley   +1 more source

Dietary inflammatory index in patients with chronic kidney disease under conservative treatment at a university hospital in Rio de Janeiro, Brazil. [PDF]

J Bras Nefrol
Ladeira KC, Bastos AA, Martinez RM, Paula TP.   +3 more
europepmc   +1 more source

Mitigating policy uncertainty: What financial markets reveal about firm‐level lobbying

American Journal of Political Science, EarlyView.
Abstract Elections can lead to substantial policy changes and, thus, are a significant source of risk. Firms can respond to such policy uncertainty by lobbying, but it is hard to quantify whether they do so and, if so, how much lobbying benefits them. We construct a new dataset and leverage investors’ expectations of variability in stock returns in the
Kristy Buzard, Nathan Canen, Sebastian Saiegh   +2 more
wiley   +1 more source

A survey of machine learning for estimating workload: considering unknown tasks. [PDF]

Front Robot AI
Bhagat Smith J, Adams JA.
europepmc   +1 more source