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SEQUENCES OF COMPETITIVE MOVES AND EFFECTS ON FIRM PERFORMANCE
COMPETITIVE MOVES FIRM PERFORMANCE
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2015/7/3
While the majority of research on competitive dynamics examines competitive moves in aggregated repertoires, recent work has started to deal with patterns in moves over time. Such work on competitive ...
Sequences of willmore surfaces
Wilmer sequence of holomorphic curves wilmer sphere wilmer torus
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2014/12/25
In this paper we develop the theory of Willmore sequences for Willmore surfaces in the 4-sphere. We show that under appropriate conditions this sequence has to terminate. In this case the Willmore sur...
MCMC for non-linear state space models using ensembles of latent sequences
MCMC non-linear state space models ensembles latent sequences
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2013/6/13
Non-linear state space models are a widely-used class of models for biological, economic, and physical processes. Fitting these models to observed data is a difficult inference problem that has no str...
Online Learning with Predictable Sequences
Online Learning Predictable Sequences
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2012/9/17
We present methods for online linear optimization that take advantage of benign (as opposed to worst-case) sequences. Speci cally if the sequence encountered by the learner is described well by a know...
On the Marginal Distributions of Stationary AR(1) Sequences
Semi-selfdecomposability infinite divisibility AR(1) process
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2010/4/28
In this note we correct an omission in our paper (Satheesh and Sandhya, 2005)
in defining semi-selfdecomposable laws and also show with examples that the marginal
distributions of a stationary AR(1)...
The tail empirical process for some long memory sequences
tail empirical process long memory sequences
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2010/3/9
This paper describes limiting behaviour of tail empirical process associated with
long memory stochastic volatility models. We show that such process has dichoto-
mous behaviour, according to an int...
Extreme value theory for asymptotic stationary sequences
Extreme value theory asymptotic stationary sequences
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2009/9/23
Extreme value theory for asymptotic stationary sequences。
Cumulants for stationary mixing random sequences and applications to empirical spectral density
stationary mixing random sequences applications to empirical spectral density
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2009/9/23
Cumulants for stationary mixing random sequences and applications to empirical spectral density。
Rearrangements of sequences of random variables and exponential inequalities
Rearrangements of sequences random variables exponential inequalities
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2009/9/23
Rearrangements of sequences of random variables and exponential inequalities。
Weighted square summable and generalized harmonizable sequences
Weighted square summable generalized harmonizable sequences
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2009/9/23
Weighted square summable and generalized harmonizable sequences。
Testing Gaussian sequences and asymptotic inversion of Toeplitz operators
Testing Gaussian sequences asymptotic inversion Toeplitz operators
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2009/9/23
Testing Gaussian sequences and asymptotic inversion of Toeplitz operators。
On the Stein property of Radmachar sequences
the Stein property Radmachar sequences
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2009/9/22
We prove that for a Radernacher sequence (r,) and any
sequence of real numbers [ad the inequality
holds true.
Infinite sequences with sign-symmetric Liouville distributions
Infinite sequences sign-symmetric Liouville distributions
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2009/9/22
We define and study the sign-symmetric Dirichlet-type
and Liouville-type distributions on n-dimensional space. We give
a complete stochastic representation for infinite sequences of random
variable...
A note on convergence rates in the strong law for strong mixing sequences
convergence rates the strong law for strong mixing sequences
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2009/9/22
For partial sums {S,) of a stationary ergodic sequence
{X,} with zero mean we find conditions for
m
ny-'Pr {sup (S Jk) > E ] < m
n= 1 k?n
in terms of the strong mixing weficients {a,,) and moment...
A central limit theorem for strictly stationary sequences in terms of slow variation in the limit
A central limit theorem strictly stationary sequences terms of slow variation
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2009/9/22
For strictly stationary random sequences satisfying the
"minimal" dependence condition, necessary and sufficient conditions
for the weak convergence to the normal law in terms of slow variation
in ...