Results 71 to 80 of about 967,885 (269)
What is the most sensitive measure of water maze probe test performance?
Frontiers in Integrative Neuroscience, 2009 The water maze is commonly used to assay spatial cognition, or, more generally, learning and memory in experimental rodent models. In the water maze, mice or rats are trained to navigate to a platform located below the water’s surface.
Hamid R Maei +11 more
doaj +1 more source
Long-Range Dependence in Daily Interest Rate [PDF]
, 2000 We employ a number of parametric and non-parametric techniques to establish the existence of long-range dependence in daily interbank o er rates for four countries.
Ioannidis, C, Monoyios, M
core +1 more source
Disordered but rhythmic—the role of intrinsic protein disorder in eukaryotic circadian timing
FEBS Letters, EarlyView.Unstructured domains known as intrinsically disordered regions (IDRs) are present in nearly every part of the eukaryotic core circadian oscillator. IDRs enable many diverse inter‐ and intramolecular interactions that support clock function. IDR conformations are highly tunable by post‐translational modifications and environmental conditions, which ...
Emery T. Usher, Jacqueline F. Pelham
wiley +1 more source
The Market-Timing Ability of Chinese Equity Securities Investment Funds
International Journal of Financial Studies, 2017 This study examines the market-timing performance of Chinese equity securities investment funds during the period from May 2003 to May 2014 using the parametric tests of Treynor–Mazuy and Henriksson–Merton as well as the Jiang non-parametric test.
Meadhbh Sherman +2 more
doaj +1 more source
Non Parametric Instrumental Regression [PDF]
The focus of the paper is the nonparametric estimation of an instrumental regression function ϕ defined by conditional moment restrictions stemming from a structural econometric model: E [Y − ϕ (Z) | W] = 0, and involving endogenous variables Y and Z and
Darolles, Serge +3 more
core
Density Estimation Trees as fast non-parametric modelling tools
, 2016 Density Estimation Trees (DETs) are decision trees trained on a multivariate dataset to estimate its probability density function. While not competitive with kernel techniques in terms of accuracy, they are incredibly fast, embarrassingly parallel and ...
Anderlini, Lucio
core +1 more source
Time after time – circadian clocks through the lens of oscillator theory
FEBS Letters, EarlyView.Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo +2 more
wiley +1 more source
DOES SIZE MATTER?: Technical Efficiency and Industry Size in Indonesia
Gadjah Mada International Journal of Business, 2013 The debate over which size industry is best suited for Indonesia continues with proponents of both large and small sizes pointing out the benefits of each.
Richard V. Richard V. Llewelyn +1 more
doaj +1 more source
Non-parametric manifold learning
Electronic Journal of StatisticsWe introduce an estimator for distances in a compact Riemannian manifold based on graph Laplacian estimates of the Laplace-Beltrami operator. We upper bound the error in the estimate of manifold distances, or more precisely an estimate of a spectrally truncated variant of manifold distance of interest in non-commutative geometry (cf.
openaire +2 more sources
Sequence determinants of RNA G‐quadruplex unfolding by Arg‐rich regions
FEBS Letters, EarlyView.We show that Arg‐rich peptides selectively unfold RNA G‐quadruplexes, but not RNA stem‐loops or DNA/RNA duplexes. This length‐dependent activity is inhibited by acidic residues and is conserved among SR and SR‐related proteins (SRSF1, SRSF3, SRSF9, U1‐70K, and U2AF1).
Naiduwadura Ivon Upekala De Silva +10 more
wiley +1 more source