Results 71 to 80 of about 634,254 (363)
Maximal clades in random binary search trees [PDF]
, 2014 We study maximal clades in random phylogenetic trees with the Yule-Harding model or, equivalently, in binary search trees. We use probabilistic methods to reprove and extend earlier results on moment asymptotics and asymptotic normality.
Janson, Svante
core
A Soft Microrobot for Single‐Cell Transport, Spheroid Assembly, and Dual‐Mode Drug Screening
Advanced Materials, EarlyView.A soft, untethered hydrogel microrobot enables precise single‐cell delivery, self‐assembly into 3D spheroids, and real‐time thermal actuation. Driven by light‐induced convection and embedded with gold nanorods and temperature sensors, the microrobot guides cells, modulates local microenvironments, and supports drug testing.
Philipp Harder +3 more
wiley +1 more source
On asymptotically normal estimators [PDF]
Scandinavian Actuarial Journal, 1966 Abstract Let X1 X2, ... be independent and identically distributed observations with probability densities p(x; θ) with respect to some measure µ0. Extending some work of Barankin and Gurland [2] we shall in this paper first give a proof of the existence of consistent, asymptotically normal distributed (c.a.n.) estimators under relative mild ...
openaire +2 more sources
Flexible, Integrated‐Porous Microneedle Sensor for Biofluid Sampling and On‐Site Biomarker Detection
Advanced Materials Technologies, EarlyView.A paper‐integrated porous PGA microneedle array patch capable of both high strength and absorption capacity is proposed. With an image‐processing system, an optimized colorimetric sensor achieves a low limit of detection of 0.09 mm in cholesterol.
Haitao Deng +3 more
wiley +1 more source
Parameter Estimation in Nonlinear AR-GARCH Models [PDF]
This paper develops an asymptotic estimation theory for nonlinear autoregressive models with conditionally heteroskedastic errors. We consider a functional coefficient autoregression of order p (AR(p)) with the conditional variance specified as a general
Mika Meitz, Pentti Saikkonen
core +3 more sources
Comparison of Weibull Tail-Coefficient Estimators
Revstat Statistical Journal, 2006 We address the problem of estimating the Weibull tail-coefficient which is the regular variation exponent of the inverse failure rate function. We propose a family of estimators of this coefficient and an associate extreme quantile estimator.
Laurent Gardes , Stéphane Girard
doaj +1 more source
Lietuvos Matematikos Rinkinys, 2021 The paper extends the investigations of limit theorems for numbers satisfying a class of triangular arrays. We obtain analytical expressions for the semiexponential generating function the numbers, associated with Hermite polynomials.
Igoris Belovas
doaj +1 more source
Ultra‐Thin Soft Pneumatic Actuation for Minimally Invasive Neural Interfacing
Advanced Materials Technologies, EarlyView.Parylene C is a common polymer in bioelectronics, favored for its biological and chemical inertness. However, this makes bonding layers of Parylene C together very challenging. Here it is a laser to selectively weld layers of Parylene C to create high‐pressure fluidic actuation devices.
Lawrence Coles +4 more
wiley +1 more source
Quantum local asymptotic normality based on a new quantum likelihood ratio [PDF]
, 2012 We develop a theory of local asymptotic normality in the quantum domain based on a novel quantum analogue of the log-likelihood ratio. This formulation is applicable to any quantum statistical model satisfying a mild smoothness condition.
Koichi Yamagata, A. Fujiwara, R. Gill
semanticscholar +1 more source
Asymptotic normality of the size of the giant component in a random hypergraph [PDF]
Random Struct. Algorithms, 2011 Recently, we adapted random walk arguments based on work of Nachmias and Peres, Martin‐Löf, Karp and Aldous to give a simple proof of the asymptotic normality of the size of the giant component in the random graph G(n,p) above the phase transition.
B. Bollobás, O. Riordan
semanticscholar +1 more source