The Generalized Method of Moments (GMM) is a statistical method for the analysis of samples from random processes. First developed for the analysis of econometric data, the method is here formulated to extract hidden kinetic parameters from measurements of single molecule dwell times. Our method is based on the analysis of cumulants of the measured dwell times. We develop a general form of an objective function whose minimization can return estimates of decay parameters for any number of intermediates directly from the data. We test the performance of our technique using both simulated and experimental data. We also compare the performance of our method to nonlinear least-squares minimization (NL-LSQM), a commonly-used technique for analysi...
Abstract Many applications in financial economics use data series with different starting or ending ...
Procedures based on the Generalized Method of Moments (GMM) are basic tools in modern econometrics. ...
This paper investigates statistical properties of the local generalized method of moments (LGMM) est...
The Generalized Method of Moments (GMM) is a statistical method for the analysis of samples from ran...
The generalized method of moments (GMM) is a very popular estimation and inference procedure based o...
Single-molecule methods were developed with the objective to obtain kinetic information of biomolecu...
This paper describes estimation methods, based on the generalized method of moments (GMM), applicabl...
Many biological and chemical processes proceed through one or more intermediate steps. Statistical a...
We present a simple and robust technique for extracting kinetic rate models and thermodynamic quanti...
<div><p>The inference of reaction rate parameters in biochemical network models from time series con...
AbstractMany biological and chemical processes proceed through one or more intermediate steps. Stati...
This paper extends the generalized method of moments technique of Hansen (1982) to cases where momen...
AbstractProcessive molecular motors, such as kinesin, myosin, or dynein, convert chemical energy int...
In this work, efficient methods are proposed for the calculation, from molecular dynamics trajectori...
The GMM estimator is widely used in the econometrics literature. This thesis mainly focus on three a...
Abstract Many applications in financial economics use data series with different starting or ending ...
Procedures based on the Generalized Method of Moments (GMM) are basic tools in modern econometrics. ...
This paper investigates statistical properties of the local generalized method of moments (LGMM) est...
The Generalized Method of Moments (GMM) is a statistical method for the analysis of samples from ran...
The generalized method of moments (GMM) is a very popular estimation and inference procedure based o...
Single-molecule methods were developed with the objective to obtain kinetic information of biomolecu...
This paper describes estimation methods, based on the generalized method of moments (GMM), applicabl...
Many biological and chemical processes proceed through one or more intermediate steps. Statistical a...
We present a simple and robust technique for extracting kinetic rate models and thermodynamic quanti...
<div><p>The inference of reaction rate parameters in biochemical network models from time series con...
AbstractMany biological and chemical processes proceed through one or more intermediate steps. Stati...
This paper extends the generalized method of moments technique of Hansen (1982) to cases where momen...
AbstractProcessive molecular motors, such as kinesin, myosin, or dynein, convert chemical energy int...
In this work, efficient methods are proposed for the calculation, from molecular dynamics trajectori...
The GMM estimator is widely used in the econometrics literature. This thesis mainly focus on three a...
Abstract Many applications in financial economics use data series with different starting or ending ...
Procedures based on the Generalized Method of Moments (GMM) are basic tools in modern econometrics. ...
This paper investigates statistical properties of the local generalized method of moments (LGMM) est...