Results 51 to 60 of about 3,983,437 (321)
Neural Spectral Marked Point Processes
, 2021 Self- and mutually-exciting point processes are popular models in machine learning and statistics for dependent discrete event data. To date, most existing models assume stationary kernels (including the classical Hawkes processes) and simple parametric models.
Zhu, Shixiang +4 more
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Radioisotope Identification with List-Mode Gamma-Ray Data
Data Science in ScienceThis work explores the potential of utilizing temporal data from gamma-ray detectors, known as list-mode data, to enhance radioisotope identification. Traditional identification methods, which rely on full gamma-ray spectrum analysis, often require long ...
Lekha Patel +3 more
doaj +1 more source
A copula model for marked point processes [PDF]
Lifetime Data Analysis, 2013 Many chronic diseases feature recurring clinically important events. In addition, however, there often exists a random variable which is realized upon the occurrence of each event reflecting the severity of the event, a cost associated with it, or possibly a short term response indicating the effect of a therapeutic intervention.
Diao, Liqun +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT We sought to identify potential early risk biomarkers for lung disease in children post‐allogeneic HCT. Patients with pulmonary function tests 3 months post‐transplant and plasma samples between days 7 and 14 post‐HCT were included. Six of 27 subjects enrolled had reduced forced expiratory volume 1 (FEV1) z scores.
Isabella S. Small +3 more
wiley +1 more source
FURTHER RESULTS ON VARIANCES OF LOCAL STEREOLOGICAL ESTIMATORS
Image Analysis and Stereology, 2011 In the present paper the statistical properties of local stereological estimators of particle volume are studied. It is shown that the variance of the estimators can be decomposed into the variance due to the local stereological estimation procedure and ...
Zbyněk Pawlas, Eva B Vedel Jensen
doaj +1 more source
COMBINE MARKOV RANDOM FIELDS AND MARKED POINT PROCESSES TO EXTRACT BUILDING FROM REMOTELY SENSED IMAGES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Automatic building extraction from remotely sensed images is a research topic much more significant than ever. One of the key issues is object and image representation.
D. Chai, W. Förstner, M. Ying Yang
doaj +1 more source
Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus +6 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Metabolic syndrome (MetS) is a common complication in survivors of childhood acute lymphoblastic and myeloid leukemia (AL), and a major risk factor for premature cardiovascular disease, type‐2‐diabetes, and metabolic dysfunction‐associated steatotic liver disease (MASLD).
Visentin Sandrine +10 more
wiley +1 more source
Derivatives pricing with marked point processes using Tick-by-tick data [PDF]
, 2010 I propose to model stock price tick-by-tick data via a non-explosive marked point process. The arrival of trades is driven by a counting process in which the waiting-time between trades possesses a Mittag-Leffler survival function and price revisions ...
Cartea, Álvaro
core +2 more sources
Modelling marked point patterns by intensity-marked Cox processes
Statistics & Probability Letters, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ho, Lai Ping, Stoyan, D.
openaire +3 more sources