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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

Crucially, it takes into account the uncertainty inherent in our experiments. Risk and Robustness Our estimates $widehat{beta}$ of the "true'' coefficients $beta$ of our model (1) depend on the random data we observe in experiments, and they are therefore random or uncertain. It is a big picture approach, worthy of your consideration.

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Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

One reason to do ramp-up is to mitigate the risk of never before seen arms. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. For example, imagine a fantasy football site is considering displaying advanced player statistics.

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Estimating causal effects using geo experiments

The Unofficial Google Data Science Blog

Further, there is the risk that the increased ad spend will be less productive due to diminishing returns (e.g., Caution is needed, however, to use the weights: when the pre-test period volume of a geo are close to zero, the weights may be large (this usually reflects an issue with data reporting).

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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

datapine

With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. Drinking tea increases diabetes by 50%, and baldness raises the cardiovascular disease risk up to 70%! 29, 2015, Republicans from the U.S. They sure can.

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5 Accounting Tips for BEPS Adoption

Jet Global

Prior to 2015, a number of MNEs pursued tax planning strategies that effectively transferred profits from higher-tax jurisdictions to lower-tax countries, thereby eroding the tax-bases of the higher-tax jurisdictions. To avoid the headaches of audits or hefty fines, break the cycle of manual reporting. Prioritize policy over numbers.

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Decision-Making in a Time of Crisis

O'Reilly on Data

But when making a decision under uncertainty about the future, two things dictate the outcome: (1) the quality of the decision and (2) chance. The quality of the decision is based on known information and an informed risk assessment, while chance involves hidden information and the stochasticity of the world.