InfluxDB 3 isn’t just a faster database, it’s the start of a new model for building with time series data. We’ve made it open, programmable, and flexible enough to support everything from ...

In this paper, we propose a simple random walk model to predict time of calving event occurs for a pregnant dairy cow. Dairy farmers and experts have well recognized that an accurate calving time ...

Our model combines a stochastic trend—representing the slowly moving equilibrium exchange rate—and a stationary cyclical component capturing temporary deviations, reconciling long-term random walk ...

The random walk theory suggests that asset prices, including in the cryptocurrency market, move randomly and unpredictably.

Random walk theory suggests that changes in stock prices have the same distribution and are independent of each other.

Advanced algorithms exploit the channel time-domain correlation by using Kalman filters (KFs) based on an approximation of the time-varying channel. Recently, it was shown that under slow to moderate ...

We've looked at time series and what they might look like. Now why do we need to model time series? Essentially, you're trying to find patterns and understand the data in a way that you can use this ...

For realizing high-accuracy short-term wind power prediction, a hybrid model considering physical features of data is proposed in this paper, with consideration of chaotic analysis and granular ...