Results 81 to 90 of about 9,580 (220)
Multi-State Models for Panel Data: The msm Package for R
Panel data are observations of a continuous-time process at arbitrary times, for example, visits to a hospital to diagnose disease status. Multi-state models for such data are generally based on the Markov assumption.
Christopher Jackson
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An Assessment of Alternative State Space Models for Count Time Series [PDF]
This paper compares two alternative models for autocorrelated count time series. The first model can be viewed as a 'single source of error' discrete state space model, in which a time-varying parameter is specified as a function of lagged counts, with ...
Ralph D. Snyder +3 more
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The effects of different parameterizations of Markov-switching in a CIR model of bond pricing
, 2009 We examine several discrete-time versions of the Cox, Ingersoll and Ross (CIR) model for the term structure, in which the short rate is subject to discrete shifts.
Driffill, John +8 more
core +1 more source
Wind, waves, wing loading and the flight energetics of giant petrels
Functional Ecology, EarlyView.Read the free Plain Language Summary for this article on the Journal blog. Abstract Wind is a major factor driving seabird movement and energetics, the effects of which are modulated by morphology. Developments in tagging technology now make it possible to test predictions from aerodynamic theory about the effects of wind on flight performance in free ...
Madeline E. Hallet +3 more
wiley +1 more source
Functional Ecology, EarlyView.Read the free Plain Language Summary for this article on the Journal blog. Abstract Balancing survival and reproduction presents a fundamental evolutionary challenge, especially in extreme and unpredictable environments. Thermoregulatory behaviour, in particular, imposes a costly trade‐off, as time spent maintaining optimal body temperature precludes ...
David L. Hubert +2 more
wiley +1 more source
Periodontology 2000, EarlyView., 2023 Abstract In this descriptive analysis of the 21‐year follow‐up data from the SHIP‐START cohort and the 7‐year follow‐up data from the SHIP‐TREND cohort, we report the progression of clinical attachment levels (CAL), age effects on CAL change, and a detailed description of CAL progression and remission. At baseline, 4307 and 4420 persons participated in
Thomas Kocher +4 more
wiley +1 more source
Riding out the storm: Behavioural responses of a large herbivore to high‐Arctic winds
Journal of Animal Ecology, EarlyView.Using 11 years of GPS data from 61 muskoxen in Northeast Greenland, we show how increasing wind speed and Arctic storms reshape movement modes and habitat selection. Muskoxen respond by bedding in dense vegetation, prioritizing energy conservation over foraging, revealing a simple behavioural strategy with potential fitness consequences under ...
Floris M. van Beest +2 more
wiley +1 more source
Insect Science, EarlyView.Using an integrative taxonomic framework that combines COI DNA barcodes, geometric morphometrics and phylogeography, we revise the assassin bug genus Tapirocoris and recover seven well‐supported species, including four newly described cryptic species.
Ping Zhao +8 more
wiley +1 more source
Nonlinearity and Temporal Dependence [PDF]
Nonlinearities in the drift and diffusion coefficients influence temporal dependence in scalar diffusion models. We study this link using two notions of temporal dependence: beta-mixing and rho-mixing.
Lars P. Hansen +2 more
core +2 more sources
, 2002 —An overview of statistical and information-theoretic aspects of hidden Markov processes (HMPs) is presented. An HMP is a discrete-time finite-state homogeneous Markov chain observed through a discrete-time memoryless invariant channel.
Yariv Ephraim, Neri Merhav
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