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Bayes Factors for Forensic Decision Analyses with R [[electronic resource] /] / by Silvia Bozza, Franco Taroni, Alex Biedermann
Bayes Factors for Forensic Decision Analyses with R [[electronic resource] /] / by Silvia Bozza, Franco Taroni, Alex Biedermann
Autore Bozza Silvia
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, : Springer Nature, 2022
Descrizione fisica 1 online resource (XII, 187 p. 22 illus., 5 illus. in color.)
Disciplina 519.5
Collana Springer Texts in Statistics
Soggetto topico Statistics
Mathematical statistics—Data processing
Forensic sciences
Medical jurisprudence
Forensic psychology
Social sciences—Statistical methods
Statistical Theory and Methods
Statistics and Computing
Forensic Science
Forensic Medicine
Forensic Psychology
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Estadística bayesiana
Processament de dades
Criminalística
R (Llenguatge de programació)
Soggetto genere / forma Llibres electrònics
Soggetto non controllato Bayes factor
scientific evidence
decision making
forensic science
uncertainty management
probability theory
forensic
decision analysis
Bayesian modeling
R
Bayesian statistics
probabilistic inference
ISBN 3-031-09839-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction to the Bayes factor and decision analysis -- Chapter 2: Bayes factor for model choice -- Chapter 3: Bayes factor for evaluative purposes -- Chapter 4: Bayes factor for investigative purposes.
Record Nr. UNISA-996495166503316
Bozza Silvia  
Cham, : Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Data Analytics and Applications of the Wearable Sensors in Healthcare
Data Analytics and Applications of the Wearable Sensors in Healthcare
Autore Syed Abdul Shabbir
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (498 p.)
Soggetto topico Humanities
Social interaction
Soggetto non controllato accelerometer
accelerometers
accidental falls
actigraph
actigraphy
action research arm test
activities of daily living
activity monitoring
activity recognition and monitoring
artificial intelligence
behaviour analysis
biofeedback
biomedical signal processing
biomedical technology
bispectrum
body worn sensors
calibration
cameras
citizen science
classifier efficiency
classifier optimization
clothing sensors
cluster analysis
conductive gels
cross correlation analysis
data compression
deep learning
denoising
disease prevention
edge computing
eHealth
electrocardiogram
embedded system
encoding
energy expenditure
entropy
exercise experiment
exercise intervention
exercise therapy
fall detection
feature extraction
feature selection
filtering algorithm
free-living
frequency-domain features
functional decline
Gaussian mixture model
GENEactiv accelerometer
genetic algorithm
GIS
GPS
gyroscope
health
healthcare
healthcare movement sensing
heart failure (HF)
heart rate
heart rate variability
heat stroke
hemodialysis
hidden Markov model
human activity recognition
human factors
human movement
impedance pneumography
inertial measurement unit
inertial measurement units
integration
IoT
IoT wearable monitor
latent features
left ventricular ejection fraction (LVEF)
longitudinal study
LSTM
machine learning
machine learning for real-time applications
magnetometer
mechanocardiogram (MCG)
MIMU
mobile health
monitoring
motion
motion sensors
multivariate analysis
musculoskeletal disorders
myocardial ischemia
n/a
neural network
non-contact sensor
non-wearable sensors
noncontact electrode
occupational healthcare
one-class classification
optoelectronic plethysmography
orientation-invariant sensing
orthopedics
P-Ergonomics
pacemaker
patient health and state monitoring
pattern classification
performance measures
personal risk detection
physical activity
physical activity classification
physical activity type
physical workload
physiological parameters
posture analysis
precision ergonomics
predictive analytics
principal component analysis
probabilistic inference
qualitative
real-life
real-world
recurrent neural networks
respiration rate
respiratory monitoring
sedentary behavior
services
signal analysis
signal processing
skill assessment
smart clothes
smart textiles
spinal posture
state space model
supervised machine learning
talking detection
technology acceptance model (TAM)
Telemedicine
time-domain features
upper extremity
ventricular premature contraction
walking
wavelets
wearable
wearable biomedical sensors
wearable device
wearable devices
wearable sensing
wearable sensor
wearable sensors
wearable systems for healthcare
wearables
wellbeing at work
wireless sensor network
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557288603321
Syed Abdul Shabbir  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui