Results 171 to 180 of about 1,212,947 (298)

Price Indices Rekindled, 1970s–1990s: Theory and Practice at Cross Purposes?

Journal of Economic Surveys, EarlyView.
ABSTRACT This paper revisits the discussions on price indices during a period marked by theoretical advancements and practical challenges in measuring inflation. Index‐number theorists sought to improve accuracy, yet national statistical offices largely maintained established practices due to concerns over data availability, stability, and public trust.
Victor Cruz‐e‐Silva, Bert M. Balk
wiley   +1 more source

Bayes Theorem and Protopathic Bias: Methodological Concerns When Addressing the Impact of Fetal Heart Rate Patterns on the Cesarean Section Rate. [PDF]

AJP Rep, 2020
Balayla J, Lasry A, Gil Y, Volodarsky-Perel A.   +3 more
europepmc   +1 more source

A Simplified Formulation of Generalized Bayes' Theorem

, 2019
Jean Dezert, Albena Tchamova, Deqiang Han, Thanuka L. Wickramarathne   +3 more
openalex   +2 more sources

Do robots boost productivity? A quantitative meta‐study

Journal of Economic Surveys, EarlyView.
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

Markov Determinantal Point Process for Dynamic Random Sets

Journal of Time Series Analysis, EarlyView.
ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
wiley   +1 more source

A STUDY ON APPLICATION OF BAYES' THEOREM IN APPIN TECHNOLOGY

, 2019
Durga Devi.S, Elackya.S, Abhinandana.R
openalex   +3 more sources

Analyzing Non‐Random Selectivity in Online Job Advertisements Using Eurostat Benchmark Data and Generalized Sample Selection Models: An Application to EU Regional Labor Markets

LABOUR, EarlyView.
ABSTRACT The present paper provides an overall framework to afford the problem of non‐representativeness and non‐random selectivity arising from online job ads data, using Generalized sample selection models and Eurostat benchmark data. We jointly model the outcome intensity (number of online job ads in observed profiles, whose levels are defined by ...
Pietro Giorgio Lovaglio, Mario Mezzanzanica   +1 more
wiley   +1 more source

Referee report. For: Modelling risk using Bayes theorem of infection by antibiotic-resistant Escherichia coli in rural and urban populations of Ecuador [version 1; referees: 1 approved]

, 2018
Jorge Saavedra
openalex   +1 more source

Aggregation and the Structure of Value

Noûs, EarlyView.
ABSTRACT Roughly, the view I call “Additivism” sums up value across time and people. Given some standard assumptions, I show that Additivism follows from two principles. The first says that how lives align in time cannot, in itself, matter. The second says, roughly, that a world cannot be better unless it is better within some period or another.
Weng Kin San
wiley   +1 more source