Testing the prediction error difference between 2 predictors

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Explaining the Relationship Between Sticky of Expenses with Prediction Error of Profit in Tehran Stock Exchange

One of the basic assumptions of management accounting illustrate that costschanges has a significance Relationship with increasing and decreasing in the levelof activity, recently after being raised of sticky costs issue by Anderson and hiscolleagues this assumption was discussed. It means Increases in costs by increasingthe more activity level of reduction in costs is exchange for the reductio...

متن کامل

Data Address Prediction with Difference Markov and Bayes Predictors

In this paper we introduce two new data address predictors for data prefetching. We introduce the Difference Markov predictor to exploit the strong markov property observed on the differences in the miss address stream, and we show that it can achieve high coverage and accuracy even for small table sizes. We also introduce the Bayes predictor to allow us to combine information from the program ...

متن کامل

Testing the reward prediction error hypothesis with an axiomatic model.

Neuroimaging studies typically identify neural activity correlated with the predictions of highly parameterized models, like the many reward prediction error (RPE) models used to study reinforcement learning. Identified brain areas might encode RPEs or, alternatively, only have activity correlated with RPE model predictions. Here, we use an alternate axiomatic approach rooted in economic theory...

متن کامل

The difference between memory and prediction in linear recurrent networks

Recurrent networks are trained to memorize their input better, often in the hopes that such training will increase the ability of the network to predict. We show that networks designed to memorize input can be arbitrarily bad at prediction. We also find, for several types of inputs, that one-node networks optimized for prediction are nearly at upper bounds on predictive capacity given by Wiener...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Biostatistics

سال: 2009

ISSN: 1465-4644,1468-4357

DOI: 10.1093/biostatistics/kxp011