Results 111 to 120 of about 8,095,148 (356)
MultiCenter Interrupted Time Series Analysis: Incorporating Within and Between-Center Heterogeneity
Joycelyne E Ewusie,1,2 Lehana Thabane,1 Joseph Beyene,1 Sharon E Straus,3 Jemila S Hamid1,2,4 1Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; 2School of Epidemiology and Public Health ...
Ewusie JE +4 more
doaj
Time Series Analysis Using Composite Multiscale Entropy
Multiscale entropy (MSE) was recently developed to evaluate the complexity of time series over different time scales. Although the MSE algorithm has been successfully applied in a number of different fields, it encounters a problem in that the ...
Kung-Yen Lee +4 more
doaj +1 more source
The Econometric Analysis of Economic Time Series
AbstractThis overview proposes a general framework linking economic analysis to a reduction‐based statistical methodology based on parameter change, expectations and contingent plans, conditioning and weak exogeneity. Both long‐run economic theory and dynamic adjustment are discussed and general‐to‐specific modelling is linked to the theory of ...
Hendry, D, Richard, J
openaire +4 more sources
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova +14 more
wiley +1 more source
SIGNIFICANT VARIABLE SELECTION AND AUTOREGRESSIVE ORDER DETERMINATION FOR TIME-SERIES PARTIALLY LINEAR MODELS [PDF]
This paper is concerned with the regression coefficient and autoregressive order shrinkage and selection via the smoothly clipped absolute deviation (SCAD) penalty for a partially linear model with time-series errors.
You, J +5 more
core +1 more source
Multiple Time Series Analysis [PDF]
This chapter demonstrates how to use XploRe for specifying, estimating, and interpreting vector autoregressive (VAR) models. VAR modeling belongs to multiple time series analysis. It is one approach in econometrics to describe a system of more than one equation and was introduced by Sims (1980). The classical multi equation modeling (e.g. Dhrymes, 1978)
openaire +3 more sources
CCDC80 suppresses high‐grade serous ovarian cancer migration via negative regulation of B7‐H3
PAX8 is a lineage‐specific master regulator of transcription in high‐grade serous ovarian cancer (HGSC) progression. We show for the first time that PAX8 facilitates proliferation and metastasis by repressing the cell autonomous tumor suppressor CCDC80 and inducing B7‐H3 expression.
Aya Saleh +12 more
wiley +1 more source
Beyond its role in immune evasion, this study identified that CD47 drives tumor‐intrinsic signaling in non‐small cell lung cancer (NSCLC). Transcriptomic profiling and functional studies revealed that CD47 regulates cell adhesion, migration, and metastasis through an ERK–EMT signaling axis.
Asa P.Y. Lau +8 more
wiley +1 more source
Circulant Matrices and Time-series Analysis [PDF]
This paper sets forth some of the salient results in the algebra of circulant matrices which can be used in time-series analysis. It provides easy derivations of some results that are central to the analysis of statistical periodograms and empirical ...
Stephen Pollock
core
Time averaging, ageing and delay analysis of financial time series
We introduce three strategies for the analysis of financial time series based on time averaged observables. These comprise the time averaged mean squared displacement (MSD) as well as the ageing and delay time methods for varying fractions of the ...
Andrey G Cherstvy +4 more
doaj +1 more source

