Results 151 to 160 of about 5,976 (280)
Managerial Overoptimism and Discretionary Disclosure
ABSTRACT We examine the effect of managerial overoptimism on discretionary disclosure of subjective information, such as earnings forecasts. The market applies a discount upon disclosure to capture the possibility that the revealed subjective expectation is too optimistic.
Nikolaj Niebuhr Lambertsen +1 more
wiley +1 more source
Evidence Gathering Under Competitive and Noncompetitive Rewards
ABSTRACT Reward schemes may affect not only agents' effort but also their incentives to gather information in order to reduce the riskiness of the productive activity. In a laboratory experiment using a novel task, we find that the relationship between incentives and evidence gathering depends critically on the availability of information about peers ...
Philip Brookins +2 more
wiley +1 more source
Fast Integer Ambiguity Resolution for GPS Attitude Determination
In this paper, a new algorithm for GPS integer ambiguity resolution is shown. The algorithm first incorporates an instantaneous (static) integer search to significantly reduce the search space using a geometric inequality. Then a batch-type loss function
John L Crassidis +2 more
core
Abstract In situ synchrotron X‐ray computed tomography enables dynamic material studies. However, automated segmentation remains challenging due to complex imaging artefacts – like ring and cupping effects – and limited training data. We present a methodology for deep learning‐based segmentation by transforming high‐quality ex situ laboratory data to ...
Tristan Manchester +6 more
wiley +1 more source
ABSTRACT Using information in returns, we identify the stochastic process of consumption. We find that aggregate consumption reacts over multiple quarters to innovations spanned by financial markets. This persistent component accounts for over a quarter of consumption variation. These shocks command a large and significant risk premium, driving a large
SVETLANA BRYZGALOVA +2 more
wiley +1 more source
Artificial Intelligence‐Based Approach for Determining the Risk of Temporomandibular Disorders
AI‐based model aims to be a practical decision support tool for early diagnosis and prevention of temporomandibular disorders, ultimately contributing to better clinical care and patient well‐being. ABSTRACT Objectives This study aims to predict TMD using ML approaches based on clinical and sociodemographic variables to aid in the early detection and ...
Damla Torul +4 more
wiley +1 more source
Selection in car insurance when claims are heterogeneous
Abstract Econometric studies of insurance markets have analyzed the Positive Correlation Property to test for the presence of asymmetric information. Car‐insurance studies frequently compare policies purchasing Mandatory Third‐Party Liability alone with policies that purchase additional coverage and use the presence of a liability claim as a measure of
Edmund Cannon +2 more
wiley +1 more source
ABSTRACT We propose a new formulation of the Vašičekmodel within the framework of functional data analysis. We treat observations (continuous‐time rates) within a suitably defined trading day as a single statistical object. We then consider a sequence of such objects, indexed by day.
Piotr Kokoszka +4 more
wiley +1 more source
Densities of all Anopheles species were approximately comparable across all IRS regimes. No differences observed between treatment regimes regarding species composition of the Anopheles funestus group or An. gambiae complex. This operational pilot demonstrates the practical feasibility of IRS micro‐mosaics, despite the inherent increase in deployment ...
Dingani Chinula +9 more
wiley +1 more source
Adaptive BDS RTK Positioning with Azimuth-Integer-Based Elevation Masking for Real-Time Deformation Monitoring in Mining Environments. [PDF]
Zhu L +5 more
europepmc +1 more source

